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An investigation into the method of energy monitoring and reduction for machining systems
Hu, Luoke1; Zheng, Hao2; Shu, Lianjie3; Jia, Shun4; Cai, Wei5; Xu, Kangkang6
2020-10-01
Source PublicationJournal of Manufacturing Systems
ABS Journal Level1
ISSN0278-6125
Volume57Pages:390-399
Abstract

Improving the energy efficiency of machining systems (MSs) is an urgent and challenging issue in sustainable manufacturing. Considering the dynamics and uncertainty of MSs, a five-dimension model is developed to monitor and reduce the energy consumption (EC) of MSs. In this model, the automatic acquisition of EC data from physical MSs is driven by Radio Frequency IDentification (RFID) read events. The EC service model provides monitoring and scheduling services for reducing the EC of physical MSs by connecting with virtual MSs in real time. The procedures of the EC reduction method for the MSs are presented. A case study of MSs for auto parts was conducted to illustrate the proposed method. The results showed that the time and EC of MSs were reduced by 148 s and 49.67 KJ, respectively.

KeywordEnergy Efficiency Energy Monitoring Energy Simulation Five-dimension Model Machining Systems Sustainable Manufacturing
DOI10.1016/j.jmsy.2020.10.012
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Operations Research & Management Science
WOS SubjectEngineering, Industrial ; Engineering, Manufacturing ; Operations Research & Management Science
WOS IDWOS:000596710800004
PublisherELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Scopus ID2-s2.0-85096218473
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ACCOUNTING AND INFORMATION MANAGEMENT
Corresponding AuthorXu, Kangkang
Affiliation1.Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China
2.Hangzhou Innovation Institute, Beihang University, Hangzhou, 310052, China
3.Faculty of Business Administration, University of Macau, Macau, 999078, China
4.Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
5.College of Engineering and Technology, Southwest University, Chongqing, 400715, China
6.School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510006, China
Recommended Citation
GB/T 7714
Hu, Luoke,Zheng, Hao,Shu, Lianjie,et al. An investigation into the method of energy monitoring and reduction for machining systems[J]. Journal of Manufacturing Systems, 2020, 57, 390-399.
APA Hu, Luoke., Zheng, Hao., Shu, Lianjie., Jia, Shun., Cai, Wei., & Xu, Kangkang (2020). An investigation into the method of energy monitoring and reduction for machining systems. Journal of Manufacturing Systems, 57, 390-399.
MLA Hu, Luoke,et al."An investigation into the method of energy monitoring and reduction for machining systems".Journal of Manufacturing Systems 57(2020):390-399.
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