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Energies 2018, 11(8), 2013;

Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes

Department of Finance and Economics, Shandong University of Science and Technology, Jinan 250031, China
Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao 266590, China
College of Engineering and Technology, Southwest University, Chongqing 400715, China
School of Mechanical and Electronic Engineering, Suzhou University, Suzhou 234000, China
Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an 710072, China
Department of Mechanical Manufacturing and Automation, Henan University of Technology, Zhengzhou 450001, China
Authors to whom correspondence should be addressed.
Received: 2 July 2018 / Revised: 31 July 2018 / Accepted: 31 July 2018 / Published: 2 August 2018
(This article belongs to the Special Issue Reducing Energy Demand in the Industrial and Manufacturing Sectors)
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Drilling processes, as some of the most widely used machining processes in the manufacturing industry, play an important role in manufacturing process energy-saving programs. However, research focus on energy modeling of drilling processes, especially for the modeling of material-drilling power, are really scarce. To bridge this gap, an improved material-drilling power model is proposed in this paper. The obtained material-drilling power model can improve the accuracy of the material-drilling power and lay a good foundation for energy modeling and optimization of drilling processes. Finally, experimental studies were carried out on an XHK-714F CNC machining center (Hangzhou HangJi Machine Tool Co., Ltd., Hangzhou, China) and a JTVM6540 CNC milling machine (Jinan Third Machine Tool Co., Ltd., Jinan, China). The results showed that predictive accuracies with the proposed model are generally higher than 96% for all the test cases. View Full-Text
Keywords: drilling process; material-drilling power; energy management drilling process; material-drilling power; energy management

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Jia, S.; Yuan, Q.; Cai, W.; Yuan, Q.; Liu, C.; Lv, J.; Zhang, Z. Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes. Energies 2018, 11, 2013.

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