Energy Demand Modeling Methodology of Key State Transitions of Turning Processes

Shun Jia, Qinghe Yuan, Dawei Ren and Jingxiang Lv
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Shun Jia: Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Qinghe Yuan: Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Dawei Ren: Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Jingxiang Lv: Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an 710072, China

Energies, 2017, vol. 10, issue 4, 1-19

Abstract: Energy demand modeling of machining processes is the foundation of energy optimization. Energy demand of machining state transition is integral to the energy requirements of the machining process. However, research focus on energy modeling of state transition is scarce. To fill this gap, an energy demand modeling methodology of key state transitions of the turning process is proposed. The establishment of an energy demand model of state transition could improve the accuracy of the energy model of the machining process, which also provides an accurate model and reliable data for energy optimization of the machining process. Finally, case studies were conducted on a CK6153 i CNC lathe, the results demonstrating that predictive accuracy with the proposed method is generally above 90% for the state transition cases.

Keywords: turning process; state transition; energy modeling; sustainable manufacturing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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