The main purpose of this study is to explore a surface roughness prediction model of Gas-Solid Two-Phase Abrasive Flow Machining. In order to achieve the above purpose, an orthogonal experiment was carried out. Q235 steel as processing material and white corundum with different particle sizes as abrasive particles were used in the experiment. Shape and spindle speed were the main reference factors. The range method and factor trend graph are used to comprehensively analyze the experimental results of different processing stages of the detection point, and the optimal parameter combination of A3B2C1D2 was obtained. According to the experimental results, a multiple linear regression equation was established to predict the surface roughness, and the experimental results were solved and significantly analyzed by software to obtain a highly reliable prediction model. Through experiments, modeling and verification, it is known that the maximum error between the obtained model and the actual value is 0.339 μm and the average error is 0.00844 μm, which can better predict the surface roughness of the gas-solid two-phase flow abrasive pool.

In this paper, an optimized bearing quasi-static model was established by coupling the influence factors of lubricating oil between ball and raceway, the interaction between cage and ball, and the fluid dynamic pressure distribution pressure of oil film between cage and guide ring with the consideration of the effects of cage and lubricating oil. Compared with Jone’s classical quasi-statics model simulation results and test results, the bearing mechanics model established in this paper is more accurate and feasible. On the basis of such model, the dynamic characteristic parameters of the oil film condition between ball and raceway and the force acting on cage, were analyzed for different working conditions. Results show that the oil film thickness of ball-raceway is more sensitive to the bearing rotating speed greater than the loads. With the increasing of the rotating speed, the normal loads between ball and cage will decrease and the force exerted by distribution pressure of fluid dynamic pressure on cage will increase. However, with the thrust load increasing, they tend to decrease gradually.