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Energies 2018, 11(8), 2013; https://doi.org/10.3390/en11082013

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

1
Department of Finance and Economics, Shandong University of Science and Technology, Jinan 250031, China
2
Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao 266590, China
3
College of Engineering and Technology, Southwest University, Chongqing 400715, China
4
School of Mechanical and Electronic Engineering, Suzhou University, Suzhou 234000, China
5
Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an 710072, China
6
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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Abstract

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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