View in EDS PDF Full Text

Modeling and prediction method for inherent energy consumption of CNC machine tool spindle systems.

Saved in:
Bibliographic Details
Title: Modeling and prediction method for inherent energy consumption of CNC machine tool spindle systems.
Authors: Wang, Xuanyi1,2 (AUTHOR), Wu, Hongyi2 (AUTHOR), Yang, Junshou2 (AUTHOR), Deng, Xiaolei2 (AUTHOR) dxl@zju.edu.cn, Piao, Zhongyu1 (AUTHOR), Yao, Xinhua3 (AUTHOR)
Source: Journal of Mechanical Science & Technology. Jul2025, Vol. 39 Issue 7, p4129-4145. 17p.
Subjects: Numerical control of machine tools, Spindles (Machine tools), Bond graphs, Power transmission, Energy consumption
Abstract: The existing machine tool energy consumption (EC) modeling mainly focuses on the total EC or cutting EC of the machine tool, while limited research exists on modeling the inherent EC of mechanical drive components in the spindle system. Therefore, this study adopts bond graph (BG) theory, and under comprehensive consideration of the influence of multiple rotational speeds, a BG model of a belt-type spindle system is established. Then, the output power of the system and the EC characteristics of the key components are obtained through derivation and simulation calculation. The output power of the EC model is used to predict the start-up EC through the peak power mapping method. The feasibility and practicability of the model are verified through experiments. The adjusted R2 value of the damping coefficient of the pulley reaches 0.9998. Experimental results show that the average relative errors of the BG model and the start-up EC prediction model are 2.29 % and 5.94 %, respectively, and the minimum relative errors are 0.34 % and 0.9 %, respectively. The model proposed in this paper provides theoretical support and a new evaluation index for the optimal design of spindle systems. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:The existing machine tool energy consumption (EC) modeling mainly focuses on the total EC or cutting EC of the machine tool, while limited research exists on modeling the inherent EC of mechanical drive components in the spindle system. Therefore, this study adopts bond graph (BG) theory, and under comprehensive consideration of the influence of multiple rotational speeds, a BG model of a belt-type spindle system is established. Then, the output power of the system and the EC characteristics of the key components are obtained through derivation and simulation calculation. The output power of the EC model is used to predict the start-up EC through the peak power mapping method. The feasibility and practicability of the model are verified through experiments. The adjusted R2 value of the damping coefficient of the pulley reaches 0.9998. Experimental results show that the average relative errors of the BG model and the start-up EC prediction model are 2.29 % and 5.94 %, respectively, and the minimum relative errors are 0.34 % and 0.9 %, respectively. The model proposed in this paper provides theoretical support and a new evaluation index for the optimal design of spindle systems. [ABSTRACT FROM AUTHOR]
ISSN:1738494X
DOI:10.1007/s12206-025-0635-1