Study on the rotation accuracy of gas hydrostatic bearings based on skin model shapes

Abstract

In high-precision manufacturing, gas hydrostatic bearings are widely utilized for their exceptional accuracy. This paper aims to explore the impact of shape deviations on rotational accuracy at critical interfaces through the innovative application of the SMS method in gas hydrostatic bearings. By comparing different modeling methods and deviation values for cylindricity and roundness, it identifies the optimal modeling approach to minimize rotational deviations. The integration of the finite difference method with equivalent spring elements offers a comprehensive framework for solving flow domain parameters. The results reveal that SMS-based cylindricity modeling achieves the closest approximation to the ideal state, reducing rotational errors to 0.0812 degrees—approximately 16% less than other methods.