Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition
High-speed machining is a key technology for greatly improving productivity and reducing production costs. Angular contact ball bearing is the key component of ball screw feed system. Predictive analysis of bearings thermal behavior is significant to ensure the working accuracy of machine tools. Due...
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Format: | Article |
Language: | English |
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IEEE
2019-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8903287/ |
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author | Zhenjun Li Chunyu Zhao Zechen Lu Fangchen Liu |
author_facet | Zhenjun Li Chunyu Zhao Zechen Lu Fangchen Liu |
author_sort | Zhenjun Li |
collection | DOAJ |
description | High-speed machining is a key technology for greatly improving productivity and reducing production costs. Angular contact ball bearing is the key component of ball screw feed system. Predictive analysis of bearings thermal behavior is significant to ensure the working accuracy of machine tools. Due to the continuous dynamic changes under actual working conditions, it is difficult to predict and model of the bearings heating characteristics. This paper develops a comprehensive calculation method for predicting the thermodynamic characteristics on high speed feed shaft bearings. Based on quasi-static model and thermal dynamic model, Monte Carlo optimization algorithm is used to inverse the temperature field experimental temperature data. The real heating characteristics of heat source are comprehensively predicted and analyzed, so as to accurately predict the bearing thermal dynamic performances of feed shaft bearings. The research work in this paper lays a strong foundation for the thermal error modeling and thermodynamic analysis of the ball screw feed system of machine tools. |
first_indexed | 2024-12-17T05:52:17Z |
format | Article |
id | doaj.art-10a225f4e6634d1b86ecdf5e8dc811bf |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-17T05:52:17Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-10a225f4e6634d1b86ecdf5e8dc811bf2022-12-21T22:01:08ZengIEEEIEEE Access2169-35362019-01-01716801116801910.1109/ACCESS.2019.29539318903287Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working ConditionZhenjun Li0https://orcid.org/0000-0003-1180-0735Chunyu Zhao1https://orcid.org/0000-0003-3246-8671Zechen Lu2https://orcid.org/0000-0002-2052-2960Fangchen Liu3School of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaHigh-speed machining is a key technology for greatly improving productivity and reducing production costs. Angular contact ball bearing is the key component of ball screw feed system. Predictive analysis of bearings thermal behavior is significant to ensure the working accuracy of machine tools. Due to the continuous dynamic changes under actual working conditions, it is difficult to predict and model of the bearings heating characteristics. This paper develops a comprehensive calculation method for predicting the thermodynamic characteristics on high speed feed shaft bearings. Based on quasi-static model and thermal dynamic model, Monte Carlo optimization algorithm is used to inverse the temperature field experimental temperature data. The real heating characteristics of heat source are comprehensively predicted and analyzed, so as to accurately predict the bearing thermal dynamic performances of feed shaft bearings. The research work in this paper lays a strong foundation for the thermal error modeling and thermodynamic analysis of the ball screw feed system of machine tools.https://ieeexplore.ieee.org/document/8903287/High speed feed shaftangular contact ball bearingthermal effectsoptimizing prediction analysis |
spellingShingle | Zhenjun Li Chunyu Zhao Zechen Lu Fangchen Liu Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition IEEE Access High speed feed shaft angular contact ball bearing thermal effects optimizing prediction analysis |
title | Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition |
title_full | Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition |
title_fullStr | Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition |
title_full_unstemmed | Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition |
title_short | Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition |
title_sort | thermal performances prediction analysis of high speed feed shaft bearings under actual working condition |
topic | High speed feed shaft angular contact ball bearing thermal effects optimizing prediction analysis |
url | https://ieeexplore.ieee.org/document/8903287/ |
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