An investigation into reducing the spindle acceleration energy consumption of machine tools

JOURNAL OF CLEANER PRODUCTION

卷:143

Article

Lv, Jingxiang^1,2  Tang, Renzhong¹  Tang, Wangchujun³  Liu, Ying⁴  Zhang, Yingfeng²  Jia, Shun⁵ 

[1] Zhejiang Univ, Ind Engn Ctr, Zhejiang Prov Key Lab Adv Mfg Technol, Hangzhou 310027, Zhejiang, Peoples R China

[2] Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Shaanxi, Peoples R China

[3] Syracuse Univ, Dept Mech & Aerosp Engn, Syracuse, NY 13244 USA

[4] Univ Loughborough, Wolfson Sch Mech Elect & Mfg Engn, Loughborough LE11 3QZ, Leics, England

[5] Shandong Univ Sci & Technol, Qingdao 266590, Peoples R China

关键词: Spindle acceleration;    Energy consumption;    Machine tools;    Energy saving;   

DOI  :  10.1016/j.jclepro.2016.12.045

来源: Elsevier

【 摘 要 】

Machine tools are widely used in the manufacturing industry, and consume large amount of energy. Spindle acceleration appears frequently while machine tools are working. It produces power peak which is highly energy intensive. As a result, a considerable amount of energy is consumed by this acceleration during the use phase of machine tools. However, there is still a lack of understanding of the energy consumption of spindle acceleration. Therefore, this research aims to model the spindle acceleration energy consumption of computer numerical control (CNC) lathes, and to investigate potential approaches to reduce this part of consumption. The proposed model is based on the principle of spindle motor control and includes the calculation of moment of inertia for spindle drive system. Experiments are carried out based on a CNC lathe to validate the proposed model. The approaches for reducing the spindle acceleration energy consumption were developed. On the machine level, the approaches include avoiding unnecessary stopping and restarting of the spindle, shortening the acceleration time, lightweight design, proper use and maintenance of the spindle. On the system level, a machine tool selection criterion is developed for energy saving. Results show that the energy can be reduced by 10.6% to more than 50% using these approaches, most of which are practical and easy to implement. (C) 2016 The Authors. Published by Elsevier Ltd.

【 授权许可】

Free