A thermal model for real-time temperature forecast of rolling linear guide considering loading working conditions
| Autor: | Kun-Qi Ye, Xiao-Yi Wang, Chang-Guang Zhou, Hutian Feng |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
business.industry Mechanical Engineering Lumped capacitance model Vertical load Stiffness 02 engineering and technology Structural engineering Industrial and Manufacturing Engineering Finite element method Computer Science Applications 020901 industrial engineering & automation Control and Systems Engineering Position (vector) Thermal medicine Torque Thermal model medicine.symptom business Software Mathematics |
| Zdroj: | The International Journal of Advanced Manufacturing Technology. 109:2249-2271 |
| ISSN: | 1433-3015 0268-3768 |
| DOI: | 10.1007/s00170-020-05723-x |
| Popis: | Thermal behaviors significantly affect the contact stiffness and position accuracy of the rolling linear guide, which worsen the performance of the precision machinery. In this paper, based on the modified lumped capacitance method (MLCM) and finite element method (FEM), a thermal model of rolling linear guides has been formulated in terms of the geometric parameters, friction, gyroscopic moment, and loading conditions. Experimental results show that the thermal model can well predict the real-time temperature variation under different working conditions. Further analysis shows that, the applied vertical load, carriage velocity, and toque load significantly influence the temperature variation of linear guides, while the influence of the torque load on temperature variation decreases with increasing vertical load levels. Besides, the reasons of the steady-state temperature variation considering the load distribution model are also discussed. |
| Databáze: | OpenAIRE |
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