Change search
Refine search result
1 - 24 of 24
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1. Abele, Eberhard
    et al.
    Chryssolouris, George
    Sihn, Wilfried
    Metternich, Joachim
    ElMaraghy, Hoda
    Seliger, Guenther
    Franzén Sivard, Gunilla
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    ElMaraghy, Waguih
    Hummel, Vera
    Tisch, Michael
    Seifermann, Stefan
    Learning factories for future oriented research and education in manufacturing2017In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 66, no 2, p. 803-826Article in journal (Refereed)
    Abstract [en]

    Learning factories present a promising environment for education, training and research, especially in manufacturing related areas which are a main driver for wealth creation in any nation. While numerous learning factories have been built in industry and academia in the last decades, a comprehensive scientific overview of the topic is still missing. This paper intends to close this gap by establishing the state of the art of learning factories. The motivations, historic background, and the didactic foundations of learning factories are outlined. Definitions of the term learning factory and the corresponding morphological model are provided. An overview of existing learning factory approaches in industry and academia is provided, showing the broad range of different applications and varying contents. The state of the art of learning factories curricula design and their use to enhance learning and research as well as potentials and limitations are presented. Conclusions and an outlook on further research priorities are offered. (C) 2017 Published by Elsevier Ltd on behalf of CIRP.

  • 2.
    Archenti, Andreas
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Prediction of machined part accuracy from machining system capability2014In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 63, no 1, p. 505-508Article in journal (Refereed)
    Abstract [en]

    A novel methodology for linking machining system capability to the accuracy of a machined part is presented. Using special testing equipment, force-deviation functions in the real machine workspace are obtained. An elastically linked multi-body simulation and FE model evaluates the volumetric deviations. The deviation values are then calculated for a particular tool path. The forces and the deviations along the tool path are computed and compared with results obtained from machining experiments. This approach yields elimination of laborious machining experiments and supports an unequivocal control of machining system conditions giving the required level of part accuracy.

  • 3.
    Archenti, Andreas
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.
    Nicolescu, Cornel Mihai
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.
    Accuracy analysis of machine tools using Elastically Linked Systems2013In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 62, no 1, p. 503-506Article in journal (Refereed)
    Abstract [en]

    The paper introduces the concept of Elastically Linked Systems (ELS) to directly relate the machine tool positional and static accuracy to the machined part’s geometric errors and form deviation. Practical implementation of the ELS concept resulted in a novel test equipment, Loaded Double Ball Bar (LDBB) which is a precision mechatronic device with variable load. The test method based on the device is able to reveal machine tool characteristics not obtainable with existing methods as for instance the variation of stiffness in the entire working space. The LDBB is used to experimentally evaluate the stiffness and the corresponding accuracy of five machine tools.

  • 4.
    Archenti, Andreas
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Nicolescu, Mihai
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    A top-down equivalent stiffness approach for prediction of deviation sources in machine tool joints2017In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604Article in journal (Refereed)
    Abstract [en]

    The accuracy of machine tools is affected to a large extent by the behavior of the system's joints. In this paper the equivalent stiffness approach identifies and calculates the contribution of joint error sources to the total deviation measured between toolholder and workpiece under loaded conditions. The force–deviation functions are measured at different locations in the machine workspace. Joint deviations are then computed and compared with results obtained from measurements. The results show the effectiveness of the proposed method in determining joint errors in machines.

  • 5.
    Chen, Danfang
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Heyer, Steffen
    Department of Machine Tools and Factory Management (IWF), TU Berlin, Germany.
    Seliger, Günther
    Department of Machine Tools and Factory Management (IWF), TU Berlin, Germany.
    Kjellberg, Torsten
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Integrating sustainability within the factory planning process2012In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 61, no 1, p. 463-466Article in journal (Refereed)
    Abstract [en]

    Research activities on sustainability in manufacturing often emphasize environmental and economic issues in specific processes. This research attempts to describe and integrate sustainability with its economic, environmental and social dimensions into the well formulated process of factory planning. A model is developed to describe relations between factory buildings, manufacturing equipment, sustainability aspects and the process of factory planning. The model provides guidance for the decision-making during the planning and design stage. By revealing different kinds of interconnections, the understanding of the complexity within factories is improved. A case study is performed on a container-sized factory to verify the model usability.

  • 6.
    Chen, Danfang
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Thiede, Sebastian
    Institute of Machine Tools and Production Technology, Technische Universität Braunschweig.
    Schudeleit, Timo
    Inspire AG/Institute of Machine Tools and Manufacturing (IWF), Swiss Federal Institute of Technology (ETH) Zurich.
    Herrmann, Christoph
    Institute of Machine Tools and Production Technology, Technische Universität Braunschweig.
    A holistic and rapid sustainability assessment tool for manufacturing SMEs2014In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 63, no 1, p. 437-440Article in journal (Refereed)
    Abstract [en]

    Sustainable development is a broad term and is complex in nature because it has three dimensions. While continuous management is necessary, especially for SMEs, there is a lack of easily applicable tools that assess the status of sustainability based on key performance indicators and that derive priorities for systematic improvement. Based on this information, this paper presents a holistic sustainability assessment tool for manufacturing SMEs. The tool is applicable on a factory level with reasonable effort, provides decision support for improvements and enables a cross-industry comparison. A case study at a Swedish company has been performed to verify the usability.

  • 7. Dadbakhsh, Sasan
    et al.
    Speirs, Mathew
    Kruth, Jean-Pierre
    Van Humbeeck, Jan
    Influence of SLM on shape memory and compression behaviour of NiTi scaffolds2015In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 64, no 1, p. 209-212Article in journal (Refereed)
  • 8. Gao, R.
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Teti, R.
    Dornfeld, D.
    Kumara, S.
    Mori, M.
    Helu, M.
    Cloud-enabled prognosis for manufacturing2015In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 64, no 2, p. 749-772Article in journal (Refereed)
    Abstract [en]

    Advanced manufacturing depends on the timely acquisition, distribution, and utilization of information from machines and processes across spatial boundaries. These activities can improve accuracy and reliability in predicting resource needs and allocation, maintenance scheduling, and remaining service life of equipment. As an emerging infrastructure, cloud computing provides new opportunities to achieve the goals of advanced manufacturing. This paper reviews the historical development of prognosis theories and techniques and projects their future growth enabled by the emerging cloud infrastructure. Techniques for cloud computing are highlighted, as well as the influence of these techniques on the paradigm of cloud-enabled prognosis for manufacturing. Finally, this paper discusses the envisioned architecture and associated challenges of cloud-enabled prognosis for manufacturing.

  • 9. Hedlind, Mikael
    et al.
    Kjellberg, Torsten
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Design specifications with engineering terminology in a geometric context for CADCAM2015In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 64, no 1, p. 169-172Article in journal (Refereed)
    Abstract [en]

    Industry needs integration of product specific terminology and product generic data schemas for man-model interaction and data exchange in next generation of CADCAM systems to improve product realization. The use of engineering terminology in a geometric context to represent design parameters as functional features, kinematic requirements, and GD&T, is presented. This will give new possibilities for increased productivity in design and manufacturing. The main principle of relating data to its valid context is applied to reduce information fragmentation causing data duplication and comprehensive data management and maintenance. The solution is illustrated for modelling truck chassis and cutting tools.

  • 10. Hedlind, Mikael
    et al.
    Kjellberg, Torsten
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Kinematical product specifications in engineering design2014In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 63, no 1, p. 197-200Article in journal (Refereed)
    Abstract [en]

    The basics of kinematic modelling in CAD applications are to define motion constraints for components relative to other components for the purpose of motion studies. The main concepts are links and joints with information about degree of freedom, actuation and motion range which combined build the topology and geometry to characterise a mechanism. For translating design intent into motion requirements more accurate modelling of the mechanism is needed, including tolerances on error motion in addition to tolerances on functional surfaces. This paper identifies existing limitations and new possibilities for model based kinematical product specification and verification.

  • 11.
    Kjellberg, Torsten
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    von Euler-Chelpin, Astrid
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Hedlind, Mikael
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Lundgren, Magnus
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Sivard, Gunilla
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Chen, Danfang
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    The machine tool model-A core part of the digital factory2009In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 58, no 1, p. 425-428Article in journal (Refereed)
    Abstract [en]

    Machine tool models - the core parts of manufacturing systems - are important for many purposes during development of new or existing systems, from investment, through process planning, NC, layout design, usage, to end of life. Today a lot of important machine tool information is not managed and stored for easy reuse. A machine tool modelling approach is presented and structured in line with principles for generic standards utilizing a manufacturing system ontology for modelling machine tool concepts. It forms a contribution to management of information and knowledge in manufacturing.

  • 12. Krueger, J.
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Verl, A.
    Bauernhansl, T.
    Carpanzano, E.
    Makris, S.
    Fleischer, J.
    Reinhart, G.
    Franke, J.
    Pellegrinelli, S.
    Innovative control of assembly systems and lines2017In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 66, no 2, p. 707-730Article in journal (Refereed)
    Abstract [en]

    The increasing demand for flexibility and reconfigurability of assembly lines generates new challenges for the control of these lines and their subsystems, such as robots, grippers, conveyors or automated guided vehicles. Also new requirements for their interaction between each other and the environment as well as with humans arise. On the other hand the rapid change of information and communication technology opens new potentials for innovative control. Due to the high degree of interconnection between controllers, actuators and sensors, the classical automation pyramid is replaced by networked structures with a higher degree of flexibility, but also higher complexity. This trend is supported by the ability to collect and process data within cloud environments, the rapid increase of computational power of decentralized and embedded controllers and the high potential of machine learning for automation. This keynote gives an overview of innovative approaches in ICT and robotics for flexible control and automation of assembly lines and systems. 

  • 13.
    Lanza, Gisela
    et al.
    Karlsruhe Inst Technol, Wbk Inst Prod Sci, Kaiserstr 12, D-76131 Karlsruhe, Germany..
    Ferdows, Kasra
    Georgetown Univ, McDonough Sch Business, Washington, DC 20057 USA..
    Kara, Sami
    Univ New South Wales, Sustainable Mfg & Life Cycle Engn Res Grp, Sch Mech & Mfg Engn, Sydney, NSW 2052, Australia..
    Mourtzis, Dimitris
    Univ Patras, Lab Mfg Syst & Automat, Dept Mech Engn & Aeronaut, Patras 26500, Greece..
    Schuh, Guenther
    Rhein Westfal TH Aachen, Inst Machine Tools & Prod Engn, Steinbachstr 19, D-52064 Aachen, Germany..
    Vancza, Jozsef
    Hungarian Acad Sci, Inst Comp Sci & Control, Budapest, Hungary.;Budapest Univ Technol & Econ, Dept Mfg Sci & Technol, Budapest, Hungary..
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wiendahl, Hans-Peter
    Leibniz Univ Hannover, IFA Inst Prod Syst & Logist, Hannover, Germany..
    Global production networks: Design and operation2019In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 68, no 2, p. 823-841Article in journal (Refereed)
    Abstract [en]

    Industrial companies are nowadays acting in global production networks (GPNs). A comprehensive scientific overview of those networks is still missing. To close this gap, a framework for designing and operating GPNs is introduced. It structures influencing factors, challenges, enablers and outlines the need for decision support systems. The state of the art in designing and operating GPNs is reviewed. Three trends are identified that help to transform historical grown networks into changeable GPNs with a focused network footprint. In conclusion, a need for future research in forming the production strategy, designing the network footprint and managing the network is given. Elsevier Ltd on behalf of CIRP.

  • 14.
    Mohammed, Abdullah
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Brainwaves driven human-robot collaborative assembly2018In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 67, no 1, p. 13-16Article in journal (Refereed)
    Abstract [en]

    This paper introduces an approach to controlling an industrial robot using human brainwaves as a means of communication. The developed approach starts by establishing a set of training sessions where an operator is enquired to think about a set of defined commands for the robot and record the brain activities accordingly. The results of the training sessions are then used on the shop floor to translate the brain activities to a set of robot control commands. An industrial case study is carried out to assist the operator in coordinating a collaborative assembly task of a car engine manifold.

  • 15.
    Sivard, Gunilla
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Lindberg, Lars
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Computer Systems for Design and Manufacturing.
    Agerman, Erik
    Customer-Based Design with Constraint Reasoning1993In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 42, no 1, p. 425-428Article in journal (Refereed)
    Abstract [en]

    This paper identifies some principles for computer aided customer based design. In this type of design. technical prerequisites and the range of customer requirements are typically the same over time. From time to time there are larger changes in manufacturing methods and customer needs though. Thus the degree of aiutomation in a design support system can be fairly large, but it still needs to be interactive and flexible for changes. The testcase presented is based on an industrial application, implemented using a commercial CAD system and a CLP (Constraint Logic Programming) system. Special emphasis is put on interactivity - the collaboration between a designer and automated design system.

  • 16.
    Szipka, Karoly
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Archenti, Andreas
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology. KTH, School of Industrial Engineering and Management (ITM), Centres, Design and Management of Manufacturing Systems, DMMS.
    Vogl, Gregory W.
    NIST, Engn Lab, 100 Bur Dr, Gaithersburg, MD 20899 USA..
    Donmez, M. Alkan
    NIST, Engn Lab, 100 Bur Dr, Gaithersburg, MD 20899 USA..
    Identification of machine tool squareness errors via inertial measurements2019In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 68, no 1, p. 547-550Article in journal (Refereed)
    Abstract [en]

    The accuracy of multi-axis machine tools is affected to a large extent by the behavior of the system's axes and their error sources. In this paper, a novel methodology using circular inertial measurements quantifies changes in squareness between two axes of linear motion. Conclusions are reached through direct utilization of measured accelerations without the need for double integration of sensor signals. Results revealed that the new methodology is able to identify squareness values verified with traditional measurement methods. The work supports the integration of sensors into machine tools in order to reach higher levels of measurement automation. behalf of CIRP.

  • 17.
    Vogl, Gregory
    et al.
    National Institute of Standards and Technologies NIST.
    Donmez, Alkan
    National Institute of Standards and Technologies NIST.
    Archenti, Andreas
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Diagnostics for geometric performance of machine tool linear axes2016In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 65, no 1, p. 377-380Article in journal (Refereed)
    Abstract [en]

    Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of linear axes is typically a manual and time-consuming process. Manufacturers need automated and efficient methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. A method was developed to use data from an inertial measurement unit (IMU) for identification of changes in the translational and angular errors due to axis degradation. A linear axis testbed, established for the purpose of verification and validation, revealed that the IMU-based method was capable of measuring geometric errors with acceptable test uncertainty ratios.

  • 18. Vrancken, Bey
    et al.
    Dadbakhsh, Sasan
    KTH, School of Industrial Engineering and Management (ITM).
    Mertens, Raya
    Vanmeensel, Kim
    Vleugels, Jef
    Yang, Shoufeng
    Kruth, Jean-Pierre
    Selective Laser Melting process optimization of Ti–Mo–TiC metal matrix composites2019In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 68, p. 221-224Article in journal (Refereed)
    Abstract [en]

    Selective Laser Melting (SLM) was used to process a powder mixture of CP Ti, 6.5 wt% Mo and 3.5 wt% Mo2C. The process parameters were optimized to obtain full-density, crack free parts. After the in situ decomposition of Mo2C in favor of the formation of TiC, the material consisted of a homogeneous dispersion of submicrometer sized TiC platelets in a β-(Ti,Mo) matrix exhibiting a high hardness up to 550 HV and compressive yield stress of 1164 ± 37 MPa. The microstructure and mechanical properties could be tailored by variation of the process parameters within the high-density processing window, as well as through post-process heat treatments.

  • 19.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Gao, R.
    Case Western Reserve Univ, Dept Mech & Aerosp Engn, Cleveland, OH 44106 USA..
    Vancza, J.
    Hungarian Acad Sci, Inst Comp Sci & Control, Budapest, Hungary.;Budapest Univ Technol & Econ, Dept Mfg Sci & Engn, Budapest, Hungary..
    Krueger, J.
    Tech Univ, Inst Machine Tools & Factory Management, Berlin, Germany.;Fraunhofer Inst Prod Syst & Design Technol, Berlin, Germany..
    Wang, Xi Vincent
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Makris, S.
    Univ Patras, Lab Mfg Syst & Automat, Patras, Greece..
    Chryssolouris, G.
    Univ Patras, Lab Mfg Syst & Automat, Patras, Greece..
    Symbiotic human-robot collaborative assembly2019In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 68, no 2, p. 701-726Article in journal (Refereed)
    Abstract [en]

    In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions. 2019 Published by Elsevier Ltd on behalf of CIRP.

  • 20.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Mohammed, Abdullah
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Remote robotic assembly guided by 3D models linking to a real robot2014In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 63, no 1, p. 1-4Article in journal (Refereed)
    Abstract [en]

    This paper presents a 3D model-driven remote robotic assembly system. It constructs 3D models at runtime to represent unknown geometries at the robot side, where a sequence of images from a calibrated camera in different poses is used. Guided by the 3D models over the Internet, a remote operator can manipulate a real robot instantly for remote assembly operations. Experimental results show that the system is feasible to meet industrial assembly requirements with an acceptable level of modelling quality and relatively short processing time. The system also enables programming-free robotic assembly where the real robot follows the human's assembly operations instantly.

  • 21.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Wang, Wei
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Liu, Dawei
    Dynamic feature based adaptive process planning for energy-efficient NC machining2017In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 66, no 1, p. 441-444Article in journal (Refereed)
    Abstract [en]

    This paper presents a dynamic feature based adaptive process planning approach that can optimise machining, cost, machining time and energy consumption simultaneously. The material removal volume of a dynamic feature is refined into non-overlapping volumes removed respectively by a single machining operation in which unified cutting mode is performed. Benefitting from this refinement, energy consumption is estimated analytically based on instantaneous cutting force as a function of real cutting parameters. Moreover, the cutting parameters assigned to each machining operation are optimised effectively in the unified cutting mode. This novel approach enhances the energy efficiency of NC machining through process planning. (C) 2017 Published by Elsevier Ltd on behalf of CIRP.

  • 22.
    Wang, Lihui
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Xi Vincent
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Gao, Liang
    Váncza, Jozsef
    A cloud-based approach for WEEE remanufacturing2014In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 63, no 1, p. 409-412Article 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, cloud manufacturing is considered worldwide a new enabling technology for manufacturing enterprises to respond quickly and effectively to the changing global market. For Waste Electrical and Electronic Equipment (WEEE) in particular, it is a critical necessity to recycle, reuse and remanufacture WEEE products by setting up a cloud-based information system. In this paper, a novel service-oriented remanufacturing platform is proposed based on the cloud manufacturing concept.

  • 23.
    Wang, Peng
    et al.
    Case Western Reserve Univ, Dept Mech & Aerosp Engn, Cleveland, OH 44106 USA..
    Liu, Hongyi
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Gao, Robert X.
    Case Western Reserve Univ, Dept Mech & Aerosp Engn, Cleveland, OH 44106 USA..
    Deep learning-based human motion recognition for predictive context-aware human-robot collaboration2018In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 67, no 1, p. 17-20Article in journal (Refereed)
    Abstract [en]

    Timely context awareness is key to improving operation efficiency and safety in human-robot collaboration (HRC) for intelligent manufacturing. Visual observation of human workers' motion provides informative clues about the specific tasks to be performed, thus can be explored for establishing accurate and reliable context awareness. Towards this goal, this paper investigates deep learning as a data driven technique for continuous human motion analysis and future HRC needs prediction, leading to improved robot planning and control in accomplishing a shared task. A case study in engine assembly is carried out to validate the feasibility of the proposed method.

  • 24.
    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.

1 - 24 of 24
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf