Thermal deformation prediction and reducing of machine tool

2019 ◽  
Vol 2019.57 (0) ◽  
pp. 1009
Author(s):  
Akihiro IWAMURA ◽  
Fumihiro SUZUMURA
2012 ◽  
Vol 2012.50 (0) ◽  
pp. 40701-40702
Author(s):  
Haruo MISHIMA ◽  
Hiromasa MAKIHARA ◽  
Fumihiro SUZUMURA ◽  
Kouzou OHTANI ◽  
Masahiro IKEDA ◽  
...  

2019 ◽  
Vol 23 (4) ◽  
pp. 2271-2279 ◽  
Author(s):  
Cheng-Biao Fu ◽  
An-Hong Tian ◽  
Her-Terng Yau ◽  
Mao-Chin Hoang

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 ?m. This information can be used by the controller to effectively compensate the processing and improve processing precision.


Author(s):  
Heng Zhang ◽  
Xuemin Zhao ◽  
Qiang Mei ◽  
Yue Wang ◽  
Shaoyun Song ◽  
...  

2000 ◽  
Vol 66 (649) ◽  
pp. 3150-3155
Author(s):  
Ikuo TANABE ◽  
Koji MATSUSHITA ◽  
Hisatoshi NAKAHASHI ◽  
Minh TRUONG HONG

2019 ◽  
Vol 35 (6) ◽  
pp. 887-900 ◽  
Author(s):  
K.-Y. Li ◽  
W.-J. Luo ◽  
M.-H. Yang ◽  
X.-H. Hong ◽  
S.-J. Luo ◽  
...  

ABSTRACTIn this study, the thermal deformation of a machine tool structure due to the heat generated during operation was analyzed, and embedded cooling channels were applied to exchange the heat generated during the operation to achieve thermal error suppression. Then, the finite volume method was used to simulate the effect of cooling oil temperature on thermal deformation, and the effect of thermal suppression was experimentally studied using a feed system combined with a cooler to improve the positioning accuracy of the machine tool. In this study, the supply oil temperature in the structural cooling channels was found to significantly affect the position accuracy of the moving table and moving carrier. If the supply oil temperature in the cooling channels is consistent with the operational ambient temperature, the position accuracy of the moving table in the Y direction and the moving carrier in the X and Z directions has the best performance under different feed rates. From the thermal suppression experiments of the embedded cooling channels, the positioning accuracy of the feed system can be improved by approximately 25.5 % during the dynamic feeding process. Furthermore, when the hydrostatic guideway is cooled and dynamic feeding is conducted, positioning accuracy can be improved by up to 47.8 %. The machining accuracy can be improved by approximately 60 % on average by using the embedded cooling channels in this study. Therefore, thermal suppression by the cooling channels in this study can not only effectively improve the positioning accuracy but also enhance machining accuracy, proving that the method is effective for enhancing machine tool accuracy.


1994 ◽  
Vol 97 (911) ◽  
pp. 854-858
Author(s):  
Sankei Morl ◽  
Nobuyuki Nishiwaki

2000 ◽  
Vol 2000.1 (0) ◽  
pp. 129-130
Author(s):  
Kouetsu YAMAZAKI ◽  
Manabu SAWADA ◽  
Makoto TSUCHIHASHI ◽  
Kenichi NAKANISHI

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