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Analyzing the Flow Field in the Oil Chamber of a Hydrostatic Guide Rail Used for Ultra-Precision Machining: Numerical Simulation and Performance Optimization

by Youxin Li

Department of Mechanical and Electrical Engineering, QingHai Higher Vocational & Technical Institute, Haidong, 810799, China

* Corresponding Author: Youxin Li. Email: email

(This article belongs to the Special Issue: EFD and Heat Transfer II)

Fluid Dynamics & Materials Processing 2020, 16(6), 1129-1145. https://doi.org/10.32604/fdmp.2020.09437

Abstract

In order to explore the impact of different structural design parameters and environmental factors on the performance of the hydrostatic guide rail, the flow field inside its oil chamber is simulated, which provides direction and guidance for the design and optimization of the guide rail system. Based on the theory of fluid lubrication and the Reynolds equation, numerical simulations are performed through a mathematical model. The results suggest that the bearing capacity of the oil film increases with the oil supply pressure. The film thickness and the film stiffness share a positive correlation. Different oil film thickness and different input pressure parameters can have a significant impact on bearing capacity and oil film stiffness. The correlations identified in the present analysis can be used as a basis to optimize the guide rail design.

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APA Style
Li, Y. (2020). Analyzing the flow field in the oil chamber of a hydrostatic guide rail used for ultra-precision machining: numerical simulation and performance optimization. Fluid Dynamics & Materials Processing, 16(6), 1129-1145. https://doi.org/10.32604/fdmp.2020.09437
Vancouver Style
Li Y. Analyzing the flow field in the oil chamber of a hydrostatic guide rail used for ultra-precision machining: numerical simulation and performance optimization. Fluid Dyn Mater Proc. 2020;16(6):1129-1145 https://doi.org/10.32604/fdmp.2020.09437
IEEE Style
Y. Li, “Analyzing the Flow Field in the Oil Chamber of a Hydrostatic Guide Rail Used for Ultra-Precision Machining: Numerical Simulation and Performance Optimization,” Fluid Dyn. Mater. Proc., vol. 16, no. 6, pp. 1129-1145, 2020. https://doi.org/10.32604/fdmp.2020.09437



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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