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Ji, W., Yin, S. & Wang, L. (2019). A big data analytics based machining optimisation approach. Journal of Intelligent Manufacturing, 30(3), 1483-1495
Open this publication in new window or tab >>A big data analytics based machining optimisation approach
2019 (English)In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, Vol. 30, no 3, p. 1483-1495Article in journal (Refereed) Published
Abstract [en]

Currently, machine tool selection, cutting tool selection and machining conditions determination are not usually performed at the same time but progressively, which may lead to suboptimal or trade-off solutions. Targeting this issue, this paper proposes a big data analytics based optimisation method for enriched Distributed Process Planning by considering machine tool selection, cutting tool selection and machining conditions determination simultaneously. Within the context, the machining resources are represented by data attributes, i.e. workpiece, machining requirement, machine tool, cutting tool, machine conditions, machining process and machining result. Consequently, the problem of machining optimisation can be treated as a statistic problem and solved by a hybrid algorithm. Regarding the algorithm, artificial neural networks based models are trained by machining data and used as optimisation objectives, whereas analytical hierarchy process is adopted to decide the weights of the multi-objective optimisation; and evolutionary algorithm or swarm intelligence is proposed to perform the optimisation. Finally, the results of a simplified proof-of-concept case study are reported to validate the proposed approach, where a Deep Belief Network model was trained by a set of hypothetic data and used to calculate the fitness of a genetic algorithm.

Place, publisher, year, edition, pages
SPRINGER, 2019
Keywords
Big data analytics, Machining optimisation, Hybrid algorithm, Deep belief network, Genetic algorithm
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-246246 (URN)10.1007/s10845-018-1440-9 (DOI)000459423700032 ()2-s2.0-85050695013 (Scopus ID)
Note

QC 20190403

Available from: 2019-04-03 Created: 2019-04-03 Last updated: 2019-06-11Bibliographically approved
Yue, C., Gao, H., Liu, X., Liang, S. Y. & Wang, L. (2019). A review of chatter vibration research in milling. CHINESE JOURNAL OF AERONAUTICS, 32(2), 215-242
Open this publication in new window or tab >>A review of chatter vibration research in milling
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2019 (English)In: CHINESE JOURNAL OF AERONAUTICS, ISSN 1000-9361, Vol. 32, no 2, p. 215-242Article, review/survey (Refereed) Published
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.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE INC, 2019
Keywords
Chatter, Gyroscopic effects, Milling, Process damping, Tool runout, LIO T, 1992, JOURNAL OF ENGINEERING FOR INDUSTRY-TRANSACTIONS OF THE ASME, V114, P146 shid Amir, 2006, INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, V46, P1626 soff Ahmad R., 2011, TRENDS IN AEROSPACE MANUFACTURING 2009 INTERNATIONAL CONFERENCEInternational Conference on Trends in Aerospace Manufacturing (TRAM), SEP 09-10, 2009, Sheffield, ENGLAND, V26, lachandran B, 2000, MECCANICA, V35, P89 urc Etienne, 2011, INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, V51, P928 ng JJJ, 2002, INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, V42, P695 guy Sebastien, 2011, MACHINING SCIENCE AND TECHNOLOGY, V15, P153
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-246271 (URN)10.1016/j.cja.2018.11.007 (DOI)000459794000001 ()2-s2.0-85060355021 (Scopus ID)
Note

QC 20190326

Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-04-04Bibliographically approved
Liu, S., Zhang, Y., Liu, Y., Wang, L. & Wang, X. V. (2019). An 'Internet of Things' enabled dynamic optimization method for smart vehicles and logistics tasks. Journal of Cleaner Production, 215, 806-820
Open this publication in new window or tab >>An 'Internet of Things' enabled dynamic optimization method for smart vehicles and logistics tasks
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2019 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 215, p. 806-820Article in journal (Refereed) Published
Abstract [en]

Centralized and one-way logistics services and the lack of real-time information of logistics resources are common in the logistics industry. This has resulted in the increased logistics cost, energy consumption, logistics resources consumption, and the decreased loading rate. Therefore, it is difficult to achieve efficient, sustainable, and green logistics services with dramatically increasing logistics demands. To deal with such challenges, a real-time information-driven dynamic optimization strategy for smart vehicles and logistics tasks towards green logistics is proposed. Firstly, an 'Internet of Things'-enabled real-time status sensing model of logistics vehicles is developed. It enables the vehicles to obtain and transmit real-time information to the dynamic distribution center, which manages value-added logistics information. Then, such information can be shared among logistics companies. A dynamic optimization method for smart vehicles and logistics tasks is developed to optimize logistics resources, and achieve a sustainable balance between economic, environmental, and social objectives. Finally, a case study is carried out to demonstrate the effectiveness of the proposed optimization method. The results show that it contributes to reducing logistics cost and fuel consumption, improving vehicles' utilization rate, and achieving real-time logistics services with high efficiency. reserved.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Internet of things, Green logistics, Dynamic optimization, Real-time information
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-245887 (URN)10.1016/j.jclepro.2018.12.254 (DOI)000459358300068 ()2-s2.0-85060923837 (Scopus ID)
Note

QC 20190308

Available from: 2019-03-08 Created: 2019-03-08 Last updated: 2019-03-08Bibliographically approved
Liu, Y., Wang, L., Wang, X. V., Xu, X. & Jiang, P. (2019). Cloud manufacturing: key issues and future perspectives. International journal of computer integrated manufacturing (Print)
Open this publication in new window or tab >>Cloud manufacturing: key issues and future perspectives
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2019 (English)In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052Article in journal (Refereed) Epub ahead of print
Abstract [en]

Since the introduction of the concept of cloud manufacturing in 2010, research on it has been ongoing for more than eight years, and much progress has been made. However, existing research indicates that people lack common and comprehensive understandings of some of the key issues with cloud manufacturing such as the concept, operation model, service mode, technology system, architecture, and essential characteristics. Moreover, few studies discuss in depth the relationships between cloud manufacturing and some closely related concepts such as cloud computing-based manufacturing, Cyber-Physical Systems (CPS), smart manufacturing, Industry 4.0, and Industrial Internet. Knowledge as a core supporting factor in cloud manufacturing has rarely been discussed systematically. Also, so far there has been no standardised definition for cloud manufacturing yet. All these are key issues to be further discussed and analysed in cloud manufacturing. In order to clarify the issues above and provide reference for future research and implementation, this paper conducts a comprehensive, systematic, and in-depth discussion and analysis of the aforementioned issues in cloud manufacturing and presents an alternative definition for cloud manufacturing based on the analysis of 12 existing definitions. Future perspectives of cloud manufacturing are also discussed with respect to both academic research and industrial implementation.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
Cloud manufacturing, cloud computing, smart manufacturing, Cyber-Physical Systems (CPS), Industry 4, 0, Industrial Internet
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-255563 (URN)10.1080/0951192X.2019.1639217 (DOI)000475054500001 ()
Note

QC 20190808

Available from: 2019-08-08 Created: 2019-08-08 Last updated: 2019-08-08Bibliographically approved
Wang, L., Meng, Y. & Ji, W. (2019). Cutting energy consumption modelling for prismatic machining features. The International Journal of Advanced Manufacturing Technology, 103(5-8), 1657-1667
Open this publication in new window or tab >>Cutting energy consumption modelling for prismatic machining features
2019 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 103, no 5-8, p. 1657-1667Article in journal (Refereed) Published
Abstract [en]

Targeting energy-efficient machining process planning, this paper presents a follow-up research on cutting energy consumption modelling for prismatic machining features (PMFs). Based on the investigation of plastic deformation-based energy consumption, its energy consumption model is extended to PMFs by refining machining time and feed at corners. Material removal volume associated with machining strategies for the PMF machining is considered as well. Moreover, cutting energy consumption models are established for the selected PMFs, i.e. face, step, slot and pocket. Finally, energy consumptions in machining of a designed test part, involving the established models of cutting energy consumption for the selected PMFs, are measured and compared with estimated energy consumptions to validate the developed models.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Cutting energy consumption, Machining, Prismatic machining features
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-255732 (URN)10.1007/s00170-019-03667-5 (DOI)000476625500002 ()2-s2.0-85067792776 (Scopus ID)
Note

QC 20190814

Available from: 2019-08-14 Created: 2019-08-14 Last updated: 2019-08-14Bibliographically approved
Lian, B., Wang, L. & Wang, X. V. (2019). Elastodynamic modeling and parameter sensitivity analysis of a parallelmanipulator with articulated traveling plate. The International Journal of Advanced Manufacturing Technology
Open this publication in new window or tab >>Elastodynamic modeling and parameter sensitivity analysis of a parallelmanipulator with articulated traveling plate
2019 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015Article in journal (Refereed) Published
Abstract [en]

This paper deals with the elastodynamic modeling and parameter sensitivity analysis of a parallel manipulator with articulated traveling plate (PM-ATP) for assembling large components in aviation and aerospace. In the elastodynamic modeling, the PM-ATP is divided into four levels, i.e., element, part, substructure, and the whole mechanism. Herein, three substructures, including translation, bar, and ATP, are categorized according to the composition of the PM-ATP. Based on the kineto-elastodynamic (KED) method, differential motion equations of lower levels are formulated and assembled to build the elastodynamic model of the upper level. Degrees of freedom (DoFs) at connecting nodes of parts and deformation compatibility conditions of substructures are considered in the assembling. The proposed layer-by-layer method makes the modeling process more explicit, especially for the ATP having complex structures and multiple joints. Simulations by finite element software and experiments by dynamic testing system are carried out to verify the natural frequencies of the PM-ATP, which show consistency with the results from the analytical model. In the parameter sensitivity analysis, response surface method (RSM) is applied to formulate the surrogate model between the elastic dynamic performances and parameters. On this basis, differentiation of performance reliability to the parameter mean value and standard variance are adopted as the sensitivity indices, from which the main parameters that greatly affect the elastic dynamic performances can be selected as the design variables. The present works are necessary preparations for future optimal design. They can also provide reference for the analysis and evaluation of other PM-ATPs.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Parallel manipulator, Articulated traveling plate, Elastodynamic modeling, Parameter sensitivity
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-249440 (URN)10.1007/s00170-018-03257-x (DOI)2-s2.0-85059859139 (Scopus ID)
Note

QC 20190429

Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2019-04-29Bibliographically approved
Lian, B., Wang, L. & Wang, X. V. (2019). Elasto-dynamic modeling andparameter sensitivity analysis of a parallel manipulator with articulatedtraveling plate. The International Journal of Advanced Manufacturing Technology, 1-17
Open this publication in new window or tab >>Elasto-dynamic modeling andparameter sensitivity analysis of a parallel manipulator with articulatedtraveling plate
2019 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, p. 1-17Article in journal (Refereed) In press
Abstract [en]

This paper deals with the elastodynamic modeling and parameter sensitivity analysis of a parallel manipulator with articulated traveling plate (PM-ATP) for assembling large components in aviation and aerospace. In the elastodynamic modeling, the PM-ATP is divided into four levels, i.e., element, part, substructure, and the whole mechanism. Herein, three substructures, including translation, bar, and ATP, are categorized according to the composition of the PM-ATP. Based on the kineto-elastodynamic (KED) method, differential motion equations of lower levels are formulated and assembled to build the elastodynamic model of the upper level. Degrees of freedom (DoFs) at connecting nodes of parts and deformation compatibility conditions of substructures are considered in the assembling. The proposed layer-by-layer method makes the modeling process more explicit, especially for the ATP having complex structures and multiple joints. Simulations by finite element software and experiments by dynamic testing system are carried out to verify the natural frequencies of the PM-ATP, which show consistency with the results from the analytical model. In the parameter sensitivity analysis, response surface method (RSM) is applied to formulate the surrogate model between the elastic dynamic performances and parameters. On this basis, differentiation of performance reliability to the parameter mean value and standard variance are adopted as the sensitivity indices, from which the main parameters that greatly affect the elastic dynamic performances can be selected as the design variables. The present works are necessary preparations for future optimal design. They can also provide reference for the analysis and evaluation of other PM-ATPs.

Place, publisher, year, edition, pages
Springer, 2019
National Category
Engineering and Technology Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-249503 (URN)10.1007/s00170-018-03257-x (DOI)2-s2.0-85059859139 (Scopus ID)
Note

QC 20190507

Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2019-05-07Bibliographically approved
Ji, W. & Wang, L. (2019). Industrial robotic machining: a review. The International Journal of Advanced Manufacturing Technology, 103(1-4), 1239-1255
Open this publication in new window or tab >>Industrial robotic machining: a review
2019 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 103, no 1-4, p. 1239-1255Article, review/survey (Refereed) Published
Abstract [en]

For the past three decades, robotic machining has attracted a large amount of research interest owning to the benefit of cost efficiency, high flexibility and multi-functionality of industrial robot. Covering articles published on the subjects of robotic machining in the past 30 years or so; this paper aims to provide an up-to-date review of robotic machining research works, a critical analysis of publications that publish the research works, and an understanding of the future directions in the field. The research works are organised into two operation categories, low material removal rate (MRR) and high MRR, according their machining properties, and the research topics are reviewed and highlighted separately. Then, a set of statistical analysis is carried out in terms of published years and countries. Towards an applicable robotic machining, the future trends and key research points are identified at the end of this paper.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Robotic machining, Machining vibration, Trajectory planning, Machining process
National Category
Robotics
Identifiers
urn:nbn:se:kth:diva-255566 (URN)10.1007/s00170-019-03403-z (DOI)000475921300091 ()2-s2.0-85064260240 (Scopus ID)
Note

QC 20190802

Available from: 2019-08-02 Created: 2019-08-02 Last updated: 2019-08-02Bibliographically approved
Gu, S., Wang, L., Hao, W., Du, Y., Wang, J. & Zhang, W. (2019). Online Video Object Segmentation via Boundary-Constrained Low-Rank Sparse Representation. IEEE Access, 7, 53520-53533
Open this publication in new window or tab >>Online Video Object Segmentation via Boundary-Constrained Low-Rank Sparse Representation
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2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 53520-53533Article in journal (Refereed) Published
Abstract [en]

Graphcut-based algorithm is adopted in many video object segmentation systems because different terms can be probabilistically fused together in a framework. Constructing spatio-temporal coherences is an important stage in segmentation systems. However, many steps are involved when computing a key term with good discriminative power. If the cascade steps are adopted, the inaccurate output of the previous step will definitely affect the next step, leading to inaccurate segmentation. In this paper, a key term that is computed by a single framework referred to as boundary-constrained low-rank sparse representation (BCLRSR) is proposed to achieve the accurate segmentation. By treating the elements as linear combinations of dictionary templates, low-rank sparse optimization is adopted to achieve the spatio-temporal saliency. For adding the spatial information to the low-rank sparse model, a boundary constraint is adopted in the framework as a Laplacian regularization. A BCLRSR saliency is then obtained by the represented coefficients, which measure the similarity between the elements in the current frame and the ones in the dictionary. At last, the object is segmented by minimizing the energy function, which is formalized by the spatio-temporal coherences. The experiments on some public datasets show that our proposed algorithm outperforms the state-of-the-art methods.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
Energy minimization, Laplacian regularization, low rank sparse representation, video object segmentation
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:kth:diva-251722 (URN)10.1109/ACCESS.2019.2912760 (DOI)000467030800001 ()2-s2.0-85065496446 (Scopus ID)
Note

QC 20190520

Available from: 2019-05-20 Created: 2019-05-20 Last updated: 2019-05-29Bibliographically approved
Yang, C., Lan, S. & Wang, L. (2019). Research on coordinated development between metropolitan economy and gistics using big data and Haken model. International Journal of Production Research, 57(4), 1176-1189
Open this publication in new window or tab >>Research on coordinated development between metropolitan economy and gistics using big data and Haken model
2019 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, no 4, p. 1176-1189Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
big data, city logistics, metropolitan economic and logistics development, coordinated development, relation analysis
National Category
Economic Geography
Identifiers
urn:nbn:se:kth:diva-248359 (URN)10.1080/00207543.2018.1503427 (DOI)000461395200013 ()2-s2.0-85052289382 (Scopus ID)
Note

QC 20190405

Available from: 2019-04-05 Created: 2019-04-05 Last updated: 2019-04-05Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8679-8049

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