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Article

An Energy Efficiency Tool Path Optimization Method Using a Discrete Energy Consumption Path Model

1
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
2
Hangzhou Innovation Institute, Beihang University, Hangzhou 310052, China
3
Wuxi Lead Intelligent Equipment Co., Ltd., Wuxi 214125, China
4
School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110023, China
*
Author to whom correspondence should be addressed.
Machines 2022, 10(5), 348; https://doi.org/10.3390/machines10050348
Submission received: 18 April 2022 / Revised: 5 May 2022 / Accepted: 6 May 2022 / Published: 8 May 2022
(This article belongs to the Section Machine Design and Theory)

Abstract

As the energy cost accounts for about one-third of the total manufacturing cost, there is great significance in evaluating and managing energy consumption in manufacturing processes. The energy consumption during multi-axis end milling, which represents a large part of the industrial energy costs, is usually extraordinarily large, especially for complex free-form surfaces requiring multi-finish-machining. To obtain the most efficient tool path, the tool orientation is adjusted to obtain the largest cutting stripe width at each cutter contact point. However, the use of excessive driving energy consumption and cutting energy to obtain the largest cutting stripe width may reduce the energy efficiency of the tool path. To solve this problem, the geometry features of the tool path are analyzed firstly, and the global energy consumption analysis, which includes a cutting energy analysis and driving energy analysis, is conducted. The discrete energy consumption path model is constructed to find the most energy-efficient tool orientation sequence for a tool path. Finally, contrast experiments are carried out to validate the proposed method.
Keywords: discrete energy consumption path model; energy efficiency; multi-axis end milling discrete energy consumption path model; energy efficiency; multi-axis end milling

Share and Cite

MDPI and ACS Style

Gao, Y.; Mi, S.; Zheng, H.; Wang, Q.; Wei, Z. An Energy Efficiency Tool Path Optimization Method Using a Discrete Energy Consumption Path Model. Machines 2022, 10, 348. https://doi.org/10.3390/machines10050348

AMA Style

Gao Y, Mi S, Zheng H, Wang Q, Wei Z. An Energy Efficiency Tool Path Optimization Method Using a Discrete Energy Consumption Path Model. Machines. 2022; 10(5):348. https://doi.org/10.3390/machines10050348

Chicago/Turabian Style

Gao, Yicong, Shanghua Mi, Hao Zheng, Qirui Wang, and Zhe Wei. 2022. "An Energy Efficiency Tool Path Optimization Method Using a Discrete Energy Consumption Path Model" Machines 10, no. 5: 348. https://doi.org/10.3390/machines10050348

APA Style

Gao, Y., Mi, S., Zheng, H., Wang, Q., & Wei, Z. (2022). An Energy Efficiency Tool Path Optimization Method Using a Discrete Energy Consumption Path Model. Machines, 10(5), 348. https://doi.org/10.3390/machines10050348

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