Research on thermal displacement modeling of the variable pressure preload motorized spindle

被引：0

作者：

Dai Y. ^{[1
]}

Tao X. ^{[2
]}

Zhan S. ^{[3
]}

Li Z. ^{[1
]}

Wang J. ^{[2
]}

机构：

[1] Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin

[2] Institute of Digital Design and Automatic Machinery Product Development, Harbin University of Science and Technology, Harbin

[3] Ningbo Tiankong Five-Axis CNC Technology Co., Ltd., Yuyao

来源：

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2022年 / 43卷 / 11期

关键词：

BP neural network; Frictional heat generation model of bearings; High-speed motorized spindle; Natural speed reduction experiment; Thermal displacement prediction model;

D O I：

10.19650/j.cnki.cjsi.J2210069

中图分类号：

学科分类号：

摘要：

There is the problem of machining quality caused by the thermal displacement of the motorized spindle at variable speed. To address this issue, an experimental method of natural speed reduction for the motorized spindle under different preload forces is proposed by building an experimental platform of the variable pressure preload motorized spindle. The frictional heat generation model of bearings based on the energy conservation theory is formulated, and the function relationship between preload forces and bearing heat generation are constructed. On this basis, the influence law of bearings temperature leading to the thermal displacement of the spindle is further investigated. The temperature data of bearings and the time of the motorized spindle with preload forces of 1 450, 1 550 and 1 700 N are used as input to construct a BP neural network thermal displacement prediction model of the motorized spindle. Results show that the fomulated thermal displacement prediction model can effectively predict the thermal displacement of the motorized spindle, and the residuals of the prediction model are within 0.5 μm. The research results provide a new method for the intelligent compensation of thermal error in high-precision machine tool spindles. © 2022, Science Press. All right reserved.

引用

页码：77 / 85

页数：8

共 23 条

[11] THAN V T, HUANG J H., Nonlinear thermal effects on high-speed spindle bearings subjected to preload, Tribology International, 96, pp. 361-372, (2016)
[12] CHEN X AN, LIU J F, HE Y, Et al., Thermal properties of high speed motorized spindle and their effects, Journal of Mechanical Engineering, 49, 11, pp. 135-142, (2013)
[13] XIONG W L, XU G SH, LYU L, Et al., Optimizing heat dissipation efficiency for air-cooling holes of rotor of high-speed and large-power motor, Mechanical Science and Technology for Aerospace Engineering, 33, 5, pp. 735-740, (2014)
[14] ZHANG L X, LI J P, LI CH Q, Et al., The experimental research on temperature rise and thermal deformation of high speed spindle of CNC machine tools, Machinery Design & Manufacture, 1, pp. 129-132, (2018)
[15] YANG Y, DU Z C, FENG X B, Et al., Real-time thermal modelling approach of a machine tool spindle based on bond graph method, The International Journal of Advanced Manufacturing of Technology, 113, pp. 99-115, (2021)
[16] DU Z C, YAO S Y, YANG J G, Et al., Thermal behavior analysis and thermal error compensation for motorized spindle of machine tools, International Journal of Precision Engineering and Manufacturing, 16, 7, pp. 1571-1581, (2015)
[17] LU L M, LI F, LI ZH H., Research on friction torque of roller sliding bearing based on ADAMS, Journal of Mechanical & Electrical Engineering, 37, 9, pp. 1026-1031, (2020)
[18] GAO F, JIA W T, LI Y, Et al., Analysis and experimental research on the fluid-solid coupled heat transfer of high-speed motorized spindle bearing under oil-air lubrication, Journal of Tribology, 143, 7, pp. 1-10, (2021)
[19] YANG X B, ZHANG T, HE L ZH, Et al., Study on heat generation in bearing of high-speed spindle system with floating displacement bearing, Bearing, 5, pp. 1-9, (2021)
[20] ZHANG K, WU ZH P, WANG Z N, Et al., Research on optimal clearance of motorized spindle considering temperature influence, Journal of Shenyang Jianzhu University(Natural Science), 37, 6, pp. 1115-1123, (2021)

← 1 2 3 →