TY - JOUR
TI - Thermal monitoring and thermal deformation prediction for spherical machine tool spindles
AU - Fu Cheng-Biao
AU - Tian An-Hong
AU - Yau Her-Terng
AU - Hoang Mao-Chin
JN - Thermal Science
PY - 2019
VL - 23
IS - 4
SP - 2271
EP - 2279
PT - Article
AB - Machine tool operations and processing can cause temperature changes in  various components because of internal and external thermal effects.  Thermal deformations caused by thermal effect in machine tools can result  in errors in processing size or shape and decrease processing precision.  Thus, this paper focuses on the analysis of heating during machine tool  spindle's high speed operation, which is the heat source that causes  component and structural deformation. In this paper, thermal monitoring was  used to build a thermal error prediction model. Temperature change around  the spindle was measured with a DS18B20, then multiple regression analysis  was used to establish the relationship between thermal deformation quantity  and temperature fields at specific points. Finally, finite element analysis  was used to build the thermal error model. A solution for the correlation  coefficient was obtained using the least squares method. The result of this  study verified that finite element analysis can predict front bearing and  rear bearing temperature rise, and is consistent with laboratory results.  The error in thermal steady-state deformation prediction was less than 2 μm.  This information can be used by the controller to effectively compensate the  processing and improve processing precision.