scholarly journals Research on thermal stiffness of machine tool spindle bearing under different initial preload and speed based on FBG sensors

Author(s):  
Yanfang Dong ◽  
Feifan Chen ◽  
Tuanliang Lu ◽  
Ming Qiu
2021 ◽  
Author(s):  
Yanfang DONG ◽  
Feifan CHEN ◽  
Tuanliang LU ◽  
Ming QIU

Abstract As a key parameter, stiffness determines the dynamic characteristics of the bearing and the spindle unit. However, the interaction of the spindle speed, initial preload, and cutting force will change the bearing stiffness characteristics during the running process cause the thermal expansion of spindle unit components. Aiming at real-time online monitoring of the thermal characteristics of machine tool spindle bearing stiffness, this paper proposed a fiber Bragg grating (FBG) sensors network. And under different axial loads, combined axial and specific radial load, the bearing temperature rise, thermally induced preload, and thermal stiffness are studied. The results show that the thermal stiffness of the bearing decreases with the increase of the spindle speed, and there is an optimal initial preload at the speed to maximize the thermal stiffness of the bearing, and the thermally induced preload has an additional pre-tightening effect on the bearing.


2018 ◽  
Vol 10 (6) ◽  
pp. 168781401877862
Author(s):  
Yanfang Dong ◽  
Zude Zhou ◽  
Lihai Chen

As a key component of the machine tool spindle, bearing has critical influences on the spindle thermal error. In particular, the installation errors of bearing have considerable effects upon the spindle thermal error by altering the bearings’ internal contact angles, contact loads, and friction torques for different ball positions, but have yet to be fully elucidated. In this article, the influence of installation errors on the resulting spindle thermal error was evaluated using both empirical methods and simulation method, with the ultimate aim of reducing installation error. Deviations within the bearing support were used to simulate bearing parallel misalignment; bearing parallel misalignment running model was built, and an analysis and comparison of various conditions were used to determine the influence, showing that the parallel misalignment has significant influence on the spindle Z direction thermal error.


2020 ◽  
Vol 21 (10) ◽  
pp. 1885-1902
Author(s):  
Van-Canh Tong ◽  
Jooho Hwang ◽  
Jongyoup Shim ◽  
Jeong-Seok Oh ◽  
Seong-Wook Hong

1992 ◽  
Vol 114 (2) ◽  
pp. 244-253 ◽  
Author(s):  
J. A. Brandon ◽  
K. J. H. Al-Shareef

After a period of relative quiescence, optimization of the design of high performance machine tools has become the subject of considerable recent research activity. Advances in the general areas of optimization theory and signal processing have enabled effective solutions to problems regarded as intractable by earlier analysts. There is, however, a danger that valuable early research may be discounted or overlooked when there is a substantial period of dormancy in a discipline. The survey links early work with current activity in the optimization of machine tool spindle bearing systems.


Sign in / Sign up

Export Citation Format

Share Document