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  • 401.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Givehchi, Mohammad
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Manufacturing System on the Cloud: A Case Study on Cloud-based Process Planning2017In: 50th CIRP Conference on Manufacturing Systems, CIRP CMS 2017, Elsevier, 2017, Vol. 63, p. 39-45Conference paper (Refereed)
    Abstract [en]

    The modern industry requires the next generation of manufacturing system to be intelligent, flexible, and interoperable. The manufacturing system also needs to offer better performance with lower cost. The huge success of cloud computing brings the opportunity to the manufacturing systems with high scalability, productivity and agility. It also provides practical solutions to the small and medium-sized enterprises with elastic investment solutions. In a cloud manufacturing system, the manufacturing resource and capability are provided in the service-oriented architecture as cloud services. In this research, the practical models of the cloud-based system are investigated, and distributed process planning services are developed accordingly. The proposed infrastructure is evaluated via a case study in which the industrial demonstrators are practised in the cloud as one specific type of process planning service.

  • 402.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Kemeny, Zsolt
    Vancza, Jozsef
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Human-robot collaborative assembly in cyber-physical production: Classification framework and implementation2017In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 66, no 1, p. 5-8Article in journal (Refereed)
    Abstract [en]

    The production industry is moving towards the next generation of assembly, which is conducted based on safe and reliable robots working in the same workplace alongside with humans. Focusing on assembly tasks, this paper presents a review of human-robot collaboration research and its classification works. Aside from defining key terms and relations, the paper also proposes means of describing human-robot collaboration that can be relied on during detailed elaboration of solutions. A human-robot collaborative assembly system is developed with a novel and comprehensive structure, and a case study is presented to validate the proposed framework.

  • 403.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Lopez, Brenda N. N.
    Ijomah, Winifred
    Wang, Lihui
    Li, Jinhui
    A Smart Cloud-Based System for the WEEE Recovery/Recycling2015In: Journal of manufacturing science and engineering, ISSN 1087-1357, E-ISSN 1528-8935, Vol. 137, no 6, article id 061010Article in journal (Refereed)
    Abstract [en]

    Waste electrical and electronic equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus, it is necessary to develop a distributed and intelligent system to support WEEE component recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture (SOA) that integrates various resources over the network. Cloud manufacturing systems are proposed worldwide to support operational manufacturing processes. In this research, Cloud manufacturing is further extended to the WEEE recovery and recycling context. The Cloud services are applied in WEEE recovery and recycling processes by tracking and management services. These services include all the stakeholders from the beginning to the end of life of the electric and electronic equipment. A Cloud-based WEEE recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.

  • 404.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Lopez N, B. N.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Li, J.
    Ijomah, W.
    A smart Cloud-based system for the WEEE Recovery/recycling2014In: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, 2014Conference paper (Refereed)
    Abstract [en]

    Waste Electrical and Electronic Equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus it is necessary to develop a distributed and intelligent system to support WEEE recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture that integrates various resources over the network. Cloud Manufacturing systems are proposed world-wide to support operational manufacturing processes. In this research, Cloud Manufacturing is further extended to the WEEE recovery and recycling context. A Cloud-based WEEE Recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.

  • 405.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Mohammed, Abdullah
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Cloud-based Robotic System: Architecture Framework and Deployment Models2015In: Proceedings of International Conference on Advanced Technology & Sciences, 2015, p. 297-306Conference paper (Refereed)
    Abstract [en]

    Nowadays Cloud computing has been extended to the manufacturing paradigm, thus forming the Cloud Manufacturing concept, which provides manufacturing as a service. As a specific type of manufacturing facility, robotics can benefit from extended capabilities from the Manufacturing Cloud, including extended hardware limitation, strengthened computing capability and shared knowledge/information. In this research, a novel Cloud-based Robotic System (CRS) is developed. In the proposed framework, the boundaries between local tasks and cloud services are analyzed and defined. With the help of cloud, current robot cells can be improved in terms of response time, flexibility, adaptiveness, energy consumption and eco-/human-friendliness. The proposed framework is evaluated via two case studies. The benefits, requirements and limitations of the cloud robotic research are analyzed till the end of the paper.

  • 406.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Seira, A.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Classification, personalised safety framework and strategy for human-robot collaboration2018In: Proceedings of International Conference on Computers and Industrial Engineering, CIE, Curran Associates Inc. , 2018Conference paper (Refereed)
    Abstract [en]

    The modern manufacturing system calls for a safe, efficient and user-friendly working environment to meet the expectation of Industry 4.0 and Smart Manufacturing. The Human-Robot Collaboration is considered as one of the promising approaches and it attracts major research interest in both academia and industry. However, in the past years the reported research results focus more on the advanced robot controlling methods, while the uniqueness of each individual human is not included in the planning or control loop. In this research, multiple types of relationships between the human operator and robot are first classified into four major types. Then the safety framework and strategy is developed towards a personalised solution in a Human-Robot Collaboration cell. The proposed approach is then implemented and evaluated through case studies and quantifiable result comparisons.

  • 407.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    A Cloud-Based Platform for Waste Electrical and Electronic Equipment (WEEE) Recovery2014In: Proceedings of the 6th International Swedish Production Symposium, 2014Conference paper (Refereed)
  • 408.
    Wang, Xi Vincent
    et al.
    KTH, Centres, XPRES, Excellence in production research. KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    A cloud-based production system for information and service integration: an internet of things case study on waste electronics2017In: Enterprise Information Systems, ISSN 1751-7575, E-ISSN 1751-7583, Vol. 11, no 7, p. 952-968Article in journal (Refereed)
    Abstract [en]

    Cloud computing is the new enabling technology that offers centralised computing, flexible data storage and scalable services. In the manufacturing context, it is possible to utilise the Cloud technology to integrate and provide industrial resources and capabilities in terms of Cloud services. In this paper, a function block-based integration mechanism is developed to connect various types of production resources. A Cloud-based architecture is also deployed to offer a service pool which maintains these resources as production services. The proposed system provides a flexible and integrated information environment for the Cloud-based production system. As a specific type of manufacturing, Waste Electrical and Electronic Equipment (WEEE) remanufacturing experiences difficulties in system integration, information exchange and resource management. In this research, WEEE is selected as the example of Internet of Things to demonstrate how the obstacles and bottlenecks are overcome with the help of Cloud-based informatics approach. In the case studies, the WEEE recycle/recovery capabilities are also integrated and deployed as flexible Cloud services. Supporting mechanisms and technologies are presented and evaluated towards the end of the paper.

  • 409.
    Wang, Xi vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    From Cloud manufacturing to Cloud remanufacturing: A Cloud-based approach for WEEE recovery2014In: Manufacturing Letters, ISSN 2213-8463, Vol. 2, no 4, p. 91-95Article in journal (Refereed)
    Abstract [en]

    The modern manufacturing industry calls for a new generation of integration models that are more interoperable, intelligent, adaptable and distributed. Evolved from service-oriented architecture, web-based manufacturing and Cloud computing, a Cloud manufacturing model has been discussed worldwide which enables manufacturing enterprises to respond quickly and effectively to the changing global market. Especially for Waste Electrical and Electronic Equipment (WEEE), it is a critical necessity to reuse, remanufacture, recycle and recover it by re-shaping the lifecycle management patterns. In this paper, recent WEEE research works are briefly reviewed. Next, a novel service-oriented remanufacturing platform is introduced based on the Cloud manufacturing concept.

  • 410.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    FUNCTION BLOCK-BASED INTEGRATION MECHANISMS FOR ADAPTIVE AND FLEXIBLE CLOUD MANUFACTURING2015In: PROCEEDINGS OF THE ASME 10TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2015, VOL 2, AMER SOC MECHANICAL ENGINEERS , 2015Conference paper (Refereed)
    Abstract [en]

    Cloud Computing is the new enabling technology that offers centralised computing, flexible data storage, and scalable services. In the manufacturing context, it is possible to extend the Cloud technology for integrating and provisioning manufacturing facilities and capabilities in terms of Cloud services. In this paper, a function block-based integration mechanism is developed to integrate various types of manufacturing facilities. A Cloud-based architecture is also deployed to provide a service pool which maintains these facilities in terms of manufacturing services. The proposed framework and mechanisms are evaluated by implementations. In practice, it is possible to establish an integrated manufacturing environment across multiple levels with the support of manufacturing Cloud and function blocks. It provides a flexible architecture as well as adaptive and integration methodologies for the Cloud manufacturing system.

  • 411.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Interoperability in cloud manufacturing and practice on private cloud structure for SMEs2017In: ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing, ASME Press, 2017, Vol. 3Conference paper (Refereed)
    Abstract [en]

    In recent years, Cloud manufacturing has become a new research trend in manufacturing systems leading to the next generation of production paradigm. However, the interoperability issue still requires more research due to the heterogeneous environment caused by multiple Cloud services and applications developed in different platforms and languages. Therefore, this research aims to combat the interoperability issue in Cloud Manufacturing System. During implementation, the industrial users, especially Small- and Medium-sized Enterprises (SMEs), are normally short of budget for hardware and software investment due to financial stresses, but they are facing multiple challenges required by customers at the same time including security requirements, safety regulations. Therefore in this research work, the proposed Cloud manufacturing system is specifically tailored for SMEs.

  • 412.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    WR cloud: a Novel WEEE Remanufacturing Cloud System2015In: 22nd CIRP Conference on Life Cycle Engineering, Elsevier, 2015, Vol. 29, p. 786-791Conference paper (Refereed)
    Abstract [en]

    Cloud manufacturing is a new manufacturing paradigm that offers manufacturing capabilities in terms of Cloud services. As a specific type of manufacturing, Waste Electrical and Electronic Equipment (WEEE) remanufacturing experiences difficulties in system integration, data exchange and resource management, especially when the products reach the end of lifecycle. Thus it is possible to introduce the Cloud manufacturing paradigm into WEEE remanufacturing environment, to overcome the obstacles and bottlenecks. In this paper, a novel Cloud-based system is developed to support WEEE remanufacturing. The WEEE recycle/recovery capabilities are integrated and deployed as flexible services in the Cloud. Supporting mechanisms and technologies are also developed, which are presented and evaluated via case studies.

  • 413.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Gao, Liang
    From Cloud Manufacturing to Cloud Remanufacturing: A Cloud-Based Approach for WEEE2013In: Proceedings - 2013 IEEE 10th International Conference on e-Business Engineering, ICEBE 2013 / [ed] James, A; Fei, X; Chao, KM; Chung, JY, IEEE conference proceedings, 2013, p. 399-406Conference paper (Refereed)
    Abstract [en]

    The modern manufacturing industry calls for a new generation of integration models that are more interoperable, intelligent, adaptable and distributed. Evolved from service-oriented architecture, web-based manufacturing and Cloud Computing, Cloud Manufacturing model is discussed world-widely which enables manufacturing enterprises to respond quickly and effectively to the changing global market. Especially for Waste Electrical and Electronic Equipments, it is a critical necessity to reuse, remanufacture, recycle and recover energy by re-shaping the lifecycle management patterns. In this paper, recent Cloud Manufacturing approaches are reviewed. Next, a novel service-oriented remanufacturing platform is introduced based on Cloud Manufacturing paradigm. During case studies, a LCD television model is taken to evaluate the proposed Cloud Remanufacturing service mechanism and information management methodologies.

  • 414.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Givehchi, Mohammad
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    ICMS: A Cloud-Based System for Production Management2015In: ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE PRODUCTION MANAGEMENT TOWARDS SUSTAINABLE GROWTH (AMPS 2015), PT II, Springer Berlin/Heidelberg, 2015, p. 444-451Conference paper (Refereed)
    Abstract [en]

    Modern production industry calls for a new generation of production systems. As a novel information technology, Cloud provides new service models and business opportunities to manufacturing industry. In this research, a Cloud-based manufacturing system is developed to support distributed production management. Recent Cloud manufacturing approaches are reviewed. The Cloud-based production management and localisation mechanisms are proposed and evaluated during case study. It is shown that the Cloud-based manufacturing system is capable of supporting distributed and customised production services and managements.

  • 415.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Goerdes, Reinhold
    FORMTEC Engn Serv GmbH, Bottrop, Germany..
    Interoperability in cloud manufacturing: a case study on private cloud structure for SMEs2018In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 31, no 7, p. 653-663Article in journal (Refereed)
    Abstract [en]

    In recent years, cloud manufacturing has become a new research trend in manufacturing systems leading to the next generation of manufacturing paradigm. However, it also brings a new challenge which is caused by multiple cloud services and applications developed by different vendors in different platforms and programming languages. Based on the literature review, most of the cloud manufacturing research have focused on either the system or methodology level, and there are limited research works concentrating on the heterogeneous manufacturing environment and the related interoperability issues. Therefore, this research aims to tackle especially the interoperability issue in the cloud manufacturing environment. The interoperability research in computing is firstly reviewed, and the cloud manufacturing research is classified from an interoperability's perspective. During cloud practice, the industrial users, especially Small- and Medium-sized Enterprises (SMEs), have demands on interoperability security, and safety. Therefore, in this research, the proposed cloud manufacturing system is particularly tailored as a private cloud to achieve data and service interoperability, where the demands from SMEs are also fulfilled. The proposed system is implemented in a private manufacturing cloud structure with mobile access. The system is validated and evaluated by a case study. The quantifiable results confirm the feasibility and advantage of the proposed system, compared with the performance of conventional IT solutions.

  • 416.
    Wang, Xi Vincent
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems. KTH, Centres, XPRES, Excellence in production research.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Mohammed, Abdullah
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Givehchi, Mohammad
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Ubiquitous manufacturing system based on Cloud: A robotics application2017In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 45, p. 116-125Article in journal (Refereed)
    Abstract [en]

    Modern manufacturing industry calls for a new generation of production system with better interoperability and new business models. As a novel information technology, Cloud provides new service models and business opportunities for manufacturing industry. In this research, recent Cloud manufacturing and Cloud robotics approaches are reviewed. Function block-based integration mechanisms are developed to integrate various types of manufacturing facilities. A Cloud-based manufacturing system is developed to support ubiquitous manufacturing, which provides a service pool maintaining physical facilities in terms of manufacturing services. The proposed framework and mechanisms are evaluated by both machining and robotics applications. In practice, it is possible to establish an integrated manufacturing environment across multiple levels with the support of manufacturing Cloud and function blocks. It provides a flexible architecture as well as ubiquitous and integrated methodologies for the Cloud manufacturing system.

  • 417.
    Wang, Yuquan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Liu, Hongyi
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ji, Wei
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Wei
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Realtime collaborating with an industrial manipulator using a constraint-based programming approach2018In: 51st CIRP Conference on Manufacturing Systems, Elsevier, 2018, p. 105-110Conference paper (Refereed)
    Abstract [en]

    Safety is the first and foremost step on our long journey to a future in which robots are moving out of the cage to collaborate with and assist people in various fields from entertainment to manufacturing. Different from the well-defined structured environment, safe robot control in a workspace with moving objects, e.g. a human, requires us to control the robot motion on the fly. In order to computationally efficiently achieve a feasible solution, we propose a constraint-based programming approach to guarantee the safe human-robot interaction. We use an optimization framework to integrate constraints from two-fold: the robot control constraints that are responsible for a generic robotic task and the online formulated safety constraints that are responsible for safe human-robot interaction. In this way, we preserve the task execution ability of a robot while guarantee the safe human-robot interaction. We validate the proposed approach with a Schunk industrial manipulator. The experimental results confirms the fact that the proposed approach has the potential to enable an industrial manipulator to work with a human coworker side-by-side.

  • 418.
    Wang, Yuquan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Applicability analysis of generalized inverse kinematics algorithms with respect to manipulator geometric uncertainties2017In: 2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) / [ed] Bicchi, A Okamura, A, IEEE , 2017, p. 2813-2820Conference paper (Refereed)
    Abstract [en]

    Accurate kinematic models and measurements are needed in many robotic applications. However uncertainties related to joint angle measurements and manipulator geometry are unavoidable, especially when grasping and using different tools or when we do not have access to an accurate robot model, e.g. when we construct a robotic system by hand. The generalized inverse kinematics methods are not applicable when a manipulator stay inside its singular region. We derive the upper bounds on the joint measurement errors and geometric uncertainties, in order to guarantee that the open-chain serial manipulators stay outside the singular region. These bounds in other words enable en effective execution of generalized inverse kinematics methods for a robotic system which is prone to geometric uncertainties. In addition to the analytic derivation, We validate the proposed bounds through a trajectory tracing task performed by a PR2 robot simulator.

  • 419.
    Wang, Yuquan
    et al.
    KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Reactive task-oriented redundancy resolution using constraint-based programming2016In: IEEE International Conference on Intelligent Robots and Systems, IEEE, 2016, p. 5689-5694Conference paper (Refereed)
    Abstract [en]

    Constraint based programming provides a versatile framework for combining several different constraints into a single robot control scheme. We take advantage of the redundancy of a robot manipulator to improve the execution of a reactive tracking task, in terms of a task-dependent measure which is a weighted sum of velocity transmissions along the current directions of motion. With inspiration from recent work, we provide analytical gradients and computable weights of the task-dependent measure, which enable us to include it in a reactive constraint based programming framework, without relying on inexact numerical approximations and manually tuning weights. The proposed approach is illustrated in a set of simulations, comparing the performance with a standard constraint based programming method.

  • 420.
    Wang, Yuquan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Resolve reactive robot control with perturbed constraints using a second order cone programming approach2017In: 2017 13TH IEEE CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), IEEE , 2017, p. 124-129Conference paper (Refereed)
    Abstract [en]

    As a modular and reactive control approach, constraint-based programming helps us to formulate and solve complex robotic tasks in a systematic way. In different fields ranging from industrial manipulators to humanoids, robots are supposed to work in an uncertain environment. However, how to address uncertainties is missing in the state-of-the-art of different constraint-based programming frameworks. In this paper, we introduce a Second Order Cone Programming (SOCP) approach to integrate constraints with norm bounded uncertainties. The proposed SOCP is convex and through simulations with controlled uncertainty level, we can clearly tell that the proposed approach guarantees the constraints satisfaction compared to the state-of-the-art.

  • 421.
    Wen, L.
    et al.
    China.
    Gao, L.
    China.
    Li, X.
    China.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Zhu, J.
    China.
    A Jointed Signal Analysis and Convolutional Neural Network Method for Fault Diagnosis2018In: Procedia CIRP, Elsevier, 2018, p. 1084-1087Conference paper (Refereed)
    Abstract [en]

    Fault diagnosis plays a vital role in the modern industry. In this research, a joint vibration signal analysis and deep learning method for fault diagnosis is proposed. The vibration signal analysis is a well-established technique for condition monitoring, and deep learning has shown its potential in fault diagnosis. In the proposed method, the time-frequency technique, named as S transform, is applied to transfer the vibration signals to images, and then an improved convolutional neural network (CNN) is applied to classify these images. The results show the proposed method has achieved the significant improvement.

  • 422. Wu, D.
    et al.
    Rosen, D. W.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Schaefera, D.
    Cloud-based manufacturing: Old wine in new bottles?2014In: Variety management in manufacturing: Proceedings of the 47th cirp conference on manufacturing systems, 2014, p. 94-99Conference paper (Refereed)
    Abstract [en]

    Cloud-based manufacturing (CBM), also referred to as cloud manufacturing, is a form of decentralized and networked manufacturing evolving from other relevant manufacturing systems such as web- and agent-based manufacturing. An ongoing debate on CBM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, programming models, file systems, operational processes, information and communication models, and new business models pertaining to CBM. One question, in particular, has often been raised: Is cloud-based manufacturing a new paradigm, or is it just old wine in newbottles? Based on the discussion of the key characteristics of CBM, the derivation of requirements that an ideal CBM system should satisfy, and a thorough comparison between CBM and other relevant manufacturing systems, we provide supporting evidence that allows us to conclude that CBM is definitely a new paradigm that will revolutionize manufacturing.

  • 423. Wu, Dazhong
    et al.
    Rosen, David W.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Schaefer, Dirk
    Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation2015In: Computer-Aided Design, ISSN 0010-4485, E-ISSN 1879-2685, Vol. 59, p. 1-14Article in journal (Refereed)
    Abstract [en]

    Cloud-based design manufacturing (CBDM) refers to a service-oriented networked product development model in which service consumers are enabled to configure, select, and utilize customized product realization resources and services ranging from computer-aided engineering software to reconfigurable manufacturing systems. An ongoing debate on CBDM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, communication and collaboration processes, crowdsourcing processes, information and communication infrastructure, programming models, data storage, and new business models pertaining to CBDM. One question, in particular, has often been raised: is cloud-based design and manufacturing actually a new paradigm, or is it just "old wine in new bottles"? To answer this question, we discuss and compare the existing definitions for CBDM, identify the essential characteristics of CBDM, define a systematic requirements checklist that an idealized CBDM system should satisfy, and compare CBDM to other relevant but more traditional collaborative design and distributed manufacturing systems such as web- and agent-based design and manufacturing systems. To justify the conclusion that CBDM can be considered as a new paradigm that is anticipated to drive digital manufacturing and design innovation, we present the development of a smart delivery drone as an idealized CBDM example scenario and propose a corresponding CBDM system architecture that incorporates CBDM-based design processes, integrated manufacturing services, information and supply chain management in a holistic sense.

  • 424.
    Wu, Dazhong
    et al.
    Univ Cent Florida, Orlando, FL 32816 USA..
    Weiss, Brian A.
    NIST, Gaithersburg, MD 20899 USA..
    Kurfess, Thomas
    Georgia Inst Technol, Atlanta, GA 30332 USA..
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Davis, Jim
    Univ Calif Los Angeles, Los Angeles, CA 90024 USA..
    Introduction to the special issue on smart manufacturing2018In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 48, p. 1-2Article in journal (Other academic)
  • 425. Xi, F.
    et al.
    Wang, Lihui
    National Research Council of Canada.
    Development of a Remotely Controllable Parallel Robotic End-Effector2004In: Conference on Robotics and Remote Systems- Proceedings, 2004, Vol. 10, p. 346-355Conference paper (Refereed)
    Abstract [en]

    This paper presents the work on the development of a remotely controllable parallel end-effector. This end-effector is designed as a tripod that can be attached to a variety of machines for different applications. A web-based remote monitoring and control system has been developed for this tripod. The main difference of this system from the existing web-based or internet-based remote systems is the way to view the motion of the machine from a remote site. Instead of using a camera for monitoring, the tripod is modeled using Java 3D with behavioral control nodes embedded. Compared with the camera-based solution, network traffic is largely reduced, thereby making real-time monitoring and control practical on the web. Once downloaded from its server, the 3D model at client-side behaves in the same way as the counterpart. It remains alive by connecting to the tripod through message passing, e.g. sensor signals and control commands transmissions.

  • 426. Xia, K.
    et al.
    Gao, L.
    Li, W.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Chao, K. -M
    A Q-learning based selective disassembly planning service in the cloud based remanufacturing system for WEEE2014In: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, ASME Press, 2014Conference paper (Refereed)
    Abstract [en]

    Cloud based approach for remanufacturing is becoming a new technical solution for sustainable management of Waste Electrical and Electronic Equipment (WEEE). This paper presents a service-oriented framework of a Cloud Based Remanufacturing System (CBRS) for WEEE. In remanufacturing of WEEE, disassembly plays an important role. However, complete disassembly is rarely an ideal solution due to the high disassembly cost, with the increasing customization and diversity, and more complex assembly processes of Electrical and Electronic Equipment (EEE). Selective disassembly focusing on disassembling only a few selected components is a better choice. In this paper, a Q-Learning based Selective Disassembly Planning (QL-SDP) approach embedded with a multi-criteria decision making model is developed. The multi-criteria decision making model is built according to the legislative and economic considerations of specific stakeholders of WEEE. And the QLSDP approach is used to achieve optimized selective disassembly planning. An implementation example has been used to verify and demonstrate the effectiveness and robustness of the approach. The developed QL-SDP approach is designed as a service implemented in the presented CBRS for WEEE.

  • 427. Xia, K.
    et al.
    Gao, L.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Li, W.
    Chao, K. -M
    A Semantic Information Services Framework for Sustainable WEEE Management Toward Cloud-Based Remanufacturing2015In: Journal of manufacturing science and engineering, ISSN 1087-1357, E-ISSN 1528-8935, Vol. 137, no 6, article id 061011Article in journal (Refereed)
    Abstract [en]

    Sustainable management of waste electrical and electronic equipment (WEEE) has attracted escalating concerns of researchers and industries. Closer information linking among the participants in the products's lifecycle should take place. How to interoperate among the distributed and heterogeneous information systems of various participants is a challenge faced. Targeting the cloud-based remanufacturing, this article aims to develop a semantic information services framework for sustainable WEEE management. In the proposed framework, an ontology based approach is developed to integrate and represent the lifecycle information from multiple local data sources within an information services provider. Meanwhile, a semantic information services management platform is introduced for the advertisement, matchmaking and retrieval of semantic information services. Some relevant techniques used to build the framework are introduced extensively. A demonstration case study on waste LCD TV is used to illustrate the effectiveness and significance of the proposed framework.

  • 428. Xia, K.
    et al.
    Gao, L.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Li, W.
    Chao, K.-M.
    A simplified teaching-learning-based optimization algorithm for disassembly sequence planning2013In: Proceedings - 2013 IEEE 10th International Conference on e-Business Engineering, ICEBE 2013, IEEE , 2013, p. 393-398Conference paper (Refereed)
    Abstract [en]

    Disassembly plays an important role in recovery and remanufacturing of Waste Electrical and Electronic Equipment (WEEE). A novel Simplified Teaching-Learning-Based Optimization (STLBO) algorithm is proposed for optimization of Disassembly Sequence Planning (DSP). The proposed STLBO is on the basis of a teaching-learning-based optimization method which is a new population based meta-heuristic algorithms. In the proposed STLBO algorithm, three operators are designed namely Feasible Solution Generator (FSG), Teacher Phase Operator (TPO) and Learner Phase Operator (LPO). The proposed algorithm is successfully tested against previous best known solutions for a set of public benchmarks.

  • 429. Xia, K.
    et al.
    Gao, L.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Li, W.
    Li, X.
    Ijomah, W.
    Service-oriented disassembly sequence planning for electrical and electronic equipment waste2016In: Electronic Commerce Research and Applications, ISSN 1567-4223, E-ISSN 1873-7846, Vol. 20, p. 59-68Article in journal (Refereed)
    Abstract [en]

    Disassembly sequence planning plays an important role in the end-of-life treatment of electrical and electronic equipment waste (e-waste). Effective planning methods can improve recovery rates and reduce environmental impacts of e-waste. In previous work, neither mathematical models nor optimization algorithms offered a satisfactory solution for this multi-objective disassembly problem. We present a multi-objective model for the problem and a modified teaching-learning-based optimization (MTLBO) algorithm to find the Pareto-optimal frontier. We use numerical simulations to demonstrate and verify the effectiveness and robustness of the algorithm. To do effective disassembly planning, all the participants in the lifecycle of e-waste should work together. Disassembly and recovery of e-waste involve complex processes across the lifecycle. Information support services, disassembly modeling and optimization services must be integrated using computer networks. We also propose a service-oriented framework to support business integration for the participants in the e-waste lifecycle. Effective and optimized disassembly planning can be achieved by invoking the related distributed services. The proposed framework is a novel e-business application for the end-of-life treatment of e-waste. © 2016 Elsevier B.V.

  • 430. Xia, Kai
    et al.
    Gao, Liang
    Chao, Kuo-Ming
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    A Cloud-based Disassembly Planning Approach towards Sustainable Management of WEEE2015In: 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE), IEEE , 2015, p. 203-208Conference paper (Refereed)
    Abstract [en]

    Waste Electrical and Electronic Equipment (WEEE) is becoming an important and challenging waste stream in terms of quantity and toxicity. Developing technical solutions for sustainable management of WEEE is becoming a global trend. Disassembly planning plays an important role in End-of-Life treatment of WEEE. Effective disassembly planning can improve the recovery rate and reduce the environmental impact of WEEE significantly. Targeting sustainable WEEE management, this paper aims to propose a cloud-based approach for disassembly planning. The approach provides a comprehensive and standardized service-oriented environment for distributed information sharing, disassembly modeling, evaluation and optimization.

  • 431. Xu, Xun
    et al.
    Rong, K.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Distributed and Collaborative Manufacturing for the 21st Century2010In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 5, no 1, p. 1-4Article in journal (Refereed)
  • 432. Xu, Xun
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Newman, Stephen T.
    Computer-Aided Process Planning − A Critical Review of Recent Developments and Future Trends2011In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 24, no 1, p. 1-31Article in journal (Refereed)
    Abstract [en]

    For the past three decades, computer-aided process planning (CAPP) has attracted a large amount of research interest. A huge volume of literature has been published on this subject. Today, CAPP research faces new challenges owing to the dynamic markets and business globalisation. Thus, there is an urgent need to ascertain the current status and identify future trends of CAPP. Covering articles published on the subjects of CAPP in the past 10 years or so, this article aims to provide an up-to-date review of the CAPP research works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field. First, general information is provided on CAPP. The past reviews are summarised. Discussions about the recent CAPP research are presented in a number of categories, i.e. feature-based technologies, knowledge-based systems, artificial neural networks, genetic algorithms, fuzzy set theory and fuzzy logic, Petri nets, agent-based technology, Internet-based technology, STEP-compliant CAPP and other emerging technologies. Research on some specific aspects of CAPP is also provided. Discussions and analysis of the methods are then presented based on the data gathered from the Elsevier's Scopus abstract and citation database. The concepts of ‘Subject Strength’ of a journal and ‘technology impact factor’ are introduced and used for discussions based on the publication data. The former is used to gauge the level of focus of a journal on a particular research subject/domain, whereas the latter is used to assess the level of impact of a particular technology, in terms of citation counts. Finally, a discussion on the future development is presented.

  • 433. Xu, X.W.
    et al.
    Wang, Lihui
    National Research Council of Canada .
    Rong, Yiming
    Emerging Technologies for Interoperable CNC2005In: Proceedings of the 18th International Conference on Production Research, 2005Conference paper (Refereed)
  • 434. Xu, X.W.
    et al.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, London, UK.
    Rong, Yiming
    STEP-NC and function blocks for interoperable manufacturing2006In: IEEE Transactions on Automation Science and Engineering, ISSN 1545-5955, E-ISSN 1558-3783, Vol. 3, no 3, p. 297-308Article in journal (Refereed)
  • 435. Xu, Y.
    et al.
    Korba, L.
    Wang, Lihui
    Integrated Manufacturing Technology Institute, National Research Council Canada.
    Hao, Qi
    Shen, Weiming
    Lang, Sherman Y. T.
    A Security Framework for Collaborative Distributed System Control at the Device-Level2003In: INDIN 2003: Ieee International Conference on Industrial Informatics, Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2003, Vol. 2003, p. 192-198Conference paper (Refereed)
    Abstract [en]

    In today's globalized business world, outsourcing, joint ventures, and cross-border collaborations have led to work environments that are geographically distributed across organizational and national boundaries. There are critical research needs to develop highly secured collaborative work environments and security solutions for deployment, configuration, monitoring, and device control of interoperating services. We present a well-shaped security framework for distributed system control with a focus on device-level system control, monitoring and services reconfiguration in open and dynamic environments. The characteristics of portability, reconfigurability, interoperability, and interchangeability of these new environments are considered as key factors to produce new security risks and challenges. By adopting public key cryptography, software agent and XML binding technologies, the major security problems of authenticity, integrity, confidentiality, and safe execution are addressed in this framework. The core modules for secure task delivery and execution are presented in detail.

  • 436. Xu, Yuefei
    et al.
    Song, Ronggong
    Korba, Larry
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council Canada,.
    Shen, Weiming
    Lang, Sherman
    Distributed Device Networks With Security Constraints2005In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 1, no 4, p. 217-225Article in journal (Refereed)
    Abstract [en]

    In today's globalized business world, outsourcing, joint ventures, mobile and cross-border collaborations have led to work environments distributed across multiple organizational and geographical boundaries. The new requirements of portability, configurability and interoperability of distributed device networks put forward new challenges and security risks to the system's design and implementation. There are critical demands on highly secured collaborative control environments and security enhancing mechanisms for distributed device control, configuration, monitoring, and interoperation. This paper addresses the collaborative control issues of distributed device networks under open and dynamic environments. The security challenges of authenticity, integrity, confidentiality, and execution safety are considered as primary design constraints. By adopting policy-based network security technologies and XML processing technologies, two new modules of Secure Device Control Gateway and Security Agent are introduced into regular distributed device control networks to provide security and safety enhancing mechanisms. The core architectures, applied mechanisms, and implementation considerations are presented in detail in this paper.

  • 437.
    Yang, Chen
    et al.
    Univ Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Peoples R China. an, Shulin.
    Lan, Shulin
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Research on coordinated development between metropolitan economy and gistics using big data and Haken model2019In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, no 4, p. 1176-1189Article in journal (Refereed)
    Abstract [en]

    To quantitatively study the relationship and mutual effects between tropolitan economy and logistics is an important, yet pending issue, ich can scientifically guide the urban planning and investment. rough the identified evaluation indexes of metropolitan logistics and onomic development, this paper first builds up an evaluation process del of metropolitan economic and logistics development, based on big ta analytics (BDA), the entropy evaluation method, and the maximum viation method. BDA can help extract the exact data about the dicators of metropolitan economy and logistics. Then a Haken model is opted to ravel out the dynamic co-evolutionary law of economy and gistics in five Chinese cities, which complements the above static aluation. The results show that the economic development is an order rameter and plays a key role in the coordinated development of tropolitan logistics and economy. However, from 2013 to 2014, these ve cities had not established an orderly evolved positive-feedback chanism through which economic development promotes the coordinated velopment of metropolitan logistics and economic development.

  • 438. Yang, Xiaoyu
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    VR-Assisted Assembly Planning2009In: Proceedings of the 3rd International Swedish Production Symposium, 2009, p. 423-428Conference paper (Refereed)
    Abstract [en]

    In this paper, we present an intelligent assembly planning and training system combining virtual reality (VR) and motion tracking technologies. The development conceptual prototype for assembly planning and training enables individuals to interact with virtual environment in real time. It extends the new technologies of motion tracking and integrates them with virtual environment technologies to create real-time virtual work cell simulations in which workers may be immersed with hands-on experiences. The experimental results to date are presented to demonstrate the contributions of human skills in achieving intelligent assembly planning.

  • 439. Yang, Y.
    et al.
    Gao, R. X.
    Fan, Z.
    Wang, J.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Cloud-based prognosis: Perspective and challenge2014Conference paper (Refereed)
    Abstract [en]

    Comprehensive acquisition, distribution, and utilization of information about machine equipment and/or processes across spatial boundaries for improved productivity and decision have increasingly become the hallmark of advanced manufacturing. The emergence of cloud computing has created ample opportunities to achieve this goal. This paper presents a review of the state-of-the-art of prognosis technique for manufacturing and its future development motivated by the cloud infrastructure. Prevailing methods of prognosis are summarized, and their respective performance is comparatively evaluated. Basic principles and recent advances in cloud computing, as well as its application to cloud manufacturing, are introduced. Based on the survey, the concept of cloud-based prognosis is proposed, and its architecture as well as associated challenges are discussed.

  • 440.
    Yao, Bitao
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. School of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan China; Hubei Key Laboratory of Broadband Wireless Communication and Sensor Networks Wuhan University of Technology Wuhan China.
    Zhou, Z.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Xu, W.
    Liu, Q.
    Sensor-less external force detection for industrial manipulators to facilitate physical human-robot interaction2018In: Journal of Mechanical Science and Technology, ISSN 1738-494X, E-ISSN 1976-3824, Vol. 32, no 10, p. 4909-4923Article in journal (Refereed)
    Abstract [en]

    Sensor-less external force detection is important for industrial robots which are usually not equipped with external force sensors to be applied in physical human-robot interaction (pHRI). This paper adopts the dynamic models of the robot in both dynamic mode and quasistatic mode to detect the external force. In the dynamic mode, the inertia and friction parameters of the robot are identified with the weighted least squares. The excitation trajectory for parameter identification is optimised. The un-modelled peak points in the joint torque residual are removed by a statistical method. The torque changes of joints in quasi-static mode which are equivalent to the joint pre-sliding friction is modelled with a lumped parameter model, generalised Maxwell slip (GMS) element model. Therefore, there is no need for the switching between the friction models in different modes and this and facilitates the application of dynamic model in the external force detection. The dynamic models of robots both in dynamic mode and quasi-static mode and their effectiveness for external force detection in pHRI are verified by experimental results.

  • 441.
    Yao, Bitao
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Wuhan University of Technology, China.
    Zhou, Z.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Xu, W.
    Liu, Q.
    Liu, A.
    Sensorless and adaptive admittance control of industrial robot in physical human−robot interaction2018In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 51, p. 158-168Article in journal (Refereed)
    Abstract [en]

    As industrial robots are applied in manufacturing industry on a large-scale and human intelligence is regarded as an important part in manufacturing, physical human−robot interaction (pHRI) which integrates the strength and accuracy of robot with human operator's ability of task cognition has drawn the attention of both academia and industry. However, an industrial robot without extra force/torque sensor for interacting force monitoring cannot be used directly in pHRI, and research on pHRI of industrial robots remains a challenge. In this research, a comprehensive dynamic model of an industrial robot in both dynamic mode and quasi-static mode is obtained to calculate the external force produced by human operator in pHRI and enables sensorless pHRI for industrial robots even in the environment with ambient vibration. Particularly, the dynamics in the process of mode switching which has not been investigated by researchers is studied and compensated by an empirical but effective method. Admittance control is used to transfer the detected force into reference position and velocity of the robot. RBF (Radial Basis Function) network is used to update the damping parameter online in order to reduce the contact force change and the contact force which makes pHRI more natural and easier. The stability of the controller is also discussed. The proposed methods of external force detection and adaptive admittance control show satisfactory behaviour in the experiments.

  • 442.
    Yao, Bitao
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems. Wuhan Univ Technol, Sch Mech & ElWuhan Univ Technol, Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan 430070, Hubei, Peoples R China..
    Zhou, Zude
    Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Hubei, Peoples R China..
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Xu, Wenjun
    Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China.;Wuhan Univ Technol, Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan 430070, Hubei, Peoples R China..
    Yan, Junwei
    Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China.;Wuhan Univ Technol, Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan 430070, Hubei, Peoples R China..
    Liu, Quan
    Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China.;Wuhan Univ Technol, Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan 430070, Hubei, Peoples R China..
    A function block based cyber-physical production system for physical human robot interaction2018In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 48, p. 12-23Article in journal (Refereed)
    Abstract [en]

    Human-robot collaboration (HRC) is becoming a trend in manufacturing industry. However, the dramatic changes of requirements from the market put a higher demand for the flexibility of manufacturing systems. Cyber-Physical Production System (CPPS) which offers benefits of autonomy, self-organisation, and interoperability can be adopted to increase the flexibility of manufacturing systems. IEC 61499 (International Electrotechnical Commission) function blocks (FBs) are modularised and reusable software components for distributed industrial control. It is a suitable technology to realise a CPPS. Therefore, CPPS and FBs can be combined to realise the HRC system. This paper proposes a framework and the implementation method of IEC 61499 FB based CPPS for physical human-robot interaction (pHRI) which is type of HRC. An industrial robot based CPPS for pHRI is decomposed into modularised FBs that can be networked to fulfil manufacturing tasks. An energy consumption FB based on a novel empirical energy consumption model is also added to the system for energy consumption monitoring of the Robot. An assembly case is used to demonstrate the feasibility of the proposed system. Results show that the FB based CPPS for pHRI possesses the potential capability for HRC based assembly. The future work is also discussed.

  • 443. Yeung, Millan K.
    et al.
    Gui, Z.
    Wong, B.
    Orban, P.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council Canada.
    Lang, Sherman Y. T.
    High Performance Machining Automation2005In: Proceedings of the 5th International Workshop on Advanced Manufacturing Technologies, 2005, p. 225-230Conference paper (Refereed)
  • 444. Yeung, Millan K.
    et al.
    Wang, Lihui
    Orban, Peter
    Development of Machining Topology Knowledge Base2003Conference paper (Refereed)
  • 445. Yin, S.
    et al.
    Ji, Wei
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    He, G.
    Liu, X.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Experimental evaluation on texture of flank face on tool wear in chamfer milling of stainless steel2018In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 99, no 9-12, p. 2929-2937Article in journal (Refereed)
    Abstract [en]

    This paper presents a novel grinding enabled texture, ‘V’ shaped texture (VST), on flank face. To implement the texture on a cutting performance, a set of chamfering experiments of stainless steel materials used as 3C product shell usually are presented. Cutting forces, surface qualities, and tool wear are measured and compared, of which results show that both smallest surface roughness and longest tool life are achieved by using a 30° VST chamfer tool. By comparing the results, a clear conclusion can be drawn that texture types and angles are not independent factors to cutting performance; therefore, a suitable combination of texture types and texture angles can provide a significant improvement of tool life and surface quality.

  • 446.
    Yue, C.
    et al.
    China.
    Gao, H.
    China.
    Liu, X.
    China.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Liang, S. Y.
    China.
    Analytical prediction of part dynamics and process damping for machining stability analysis2018In: Procedia CIRP, Elsevier, 2018, p. 1463-1468Conference paper (Refereed)
    Abstract [en]

    The milling of titanium alloy thin-walled parts is confronted with the double challenges of hard to machined materials and hard machined structures. Aiming at the problem that the effect of the damping process is significant and difficult to measure in the process of machining titanium thin-walled parts, the mathematical model of the process damping is established. The tangential and radial ploughing force coefficients that characterize the damping of the process are obtained based on the power spectral density matrix and the principle of energy balance. The structural dynamic modification method is used to solve the nonlinear problem of the workpiece characteristics with the material removal and the change of the relative position of the tool and the workpiece. The time delay differential equation which considers the damping effect of the process and the dynamic characteristic of the workpiece is solved by the full-discretization method, and the three-dimensional stability lobe diagram of the milling thin-walled parts is obtained. A series of experiments have been conducted to verify the accuracy of the stability prediction.

  • 447.
    Yue, Caixu
    et al.
    Harbin Univ Sci & Technol, Harbin 150080, Heilongjiang, Peoples R China..
    Gao, Haining
    Harbin Univ Sci & Technol, Harbin 150080, Heilongjiang, Peoples R China..
    Liu, Xianli
    Harbin Univ Sci & Technol, Harbin 150080, Heilongjiang, Peoples R China..
    Liang, Steven Y.
    Georgia Inst Technol, Atlanta, GA 30332 USA..
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    A review of chatter vibration research in milling2019In: CHINESE JOURNAL OF AERONAUTICS, ISSN 1000-9361, Vol. 32, no 2, p. 215-242Article, review/survey (Refereed)
    Abstract [en]

    Chatter is a self-excited vibration of parts in machining systems. It is widely present across a range of cutting processes, and has an impact upon both efficiency and quality in production processing. A great deal of research has been dedicated to the development of technologies that are able to predict and detect chatter. The purpose of these technologies is to facilitate the avoidance of chatter during cutting processes, which leads to better surface precision, higher productivity, and longer tool life. This paper summarizes the current state of the art in research regarding the problems of how to arrive at stable chatter prediction, chatter identification, and chatter control/suppression, with a focus on milling processes. Particular focus is placed on the theoretical relationship between cutting chatter and process damping, tool runout, and gyroscopic effect, as well as the importance of this for chatter prediction. The paper concludes with some reflections regarding possible directions for future research in this field. 2019 Chinese Society of Aeronautics and Astronautics.

  • 448. Zeng, Y.
    et al.
    Yao, S.
    Wang, Lihui
    National Research Council of Canada.
    Architecture of Web-based Distributed Systems for Gathering and Managing Product Requirements2006In: Proceedings of the 16th CIRP International Design Seminar, 2006, p. 712-717Conference paper (Refereed)
  • 449. Zhang, D.
    et al.
    Wang, Lihui
    Centre for Intelligent Automation, University of Skövde, Sweden.
    Gao, Z.
    Su, X.
    On performance enhancement of parallel kinematic machine2013In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, Vol. 24, no 2, p. 267-276Article in journal (Refereed)
    Abstract [en]

    This paper proposes a spatial three degrees of freedom (DOF) parallel kinematic machine enhanced by a passive leg and a web-based remote control system. First, the geometric model of the parallel kinematic machine is addressed. In the mechanism, a fourth kinematic link—a passive link connecting the base center to the moving platform center—is introduced. Each of the three parallel limbs is actuated by one prismatic joint, respectively. The additional link has three passive DOF, namely two rotations around x and y axes and one translation along z axis. With the existence of this link, the unwanted motion of the tool (located in the moving platform) is constrained. The fourth link also enhances the global stiffness of the structure and distributes the torque from machining. With the kinematic model, a web-based remote control approach is applied. The concept of the web-based remote manipulation approach is introduced and the principles behind the method are explored in detail. Finally, a remote manipulation is demonstrated to the proposed structure using web-based remote control concept.

  • 450. Zhang, Dan
    et al.
    Wang, Lihui
    National Research Council of Canada.
    A Novel Approach for Reconfigurable Parallel Kinematic Machine Control2005In: Proceedings of CIRP 3rd International Conference on Reconfigurable Manufacturing, 2005Conference paper (Refereed)
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