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Research on RSM-Based Process Parameter Optimization of Titanium Alloy Surface Polishing |
DU Huapeng1, CHEN Jie1, GUO Dongliang1, WANG Deting1, XIE Chengyu2, LI Yang1 |
(1. Tianjin Long March Launch Vehicle Manufacturing Co. Ltd., Tianjin 300462, China;
2. Mechanical Engineering Department, North China Institute of Aerospace Engineering, Langfang 065000, China) |
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Abstract Titanium alloy is well known as a kind of difficult to machine material because of its high chemical activity,
low thermal conductivity, and small elastic module. With the development of the industrial technology, there is a higher
demand for the surface integrity of titanium alloys in modern industry, so it is very important to investigate the grinding
and polishing method, which is a method to get a better surface of the titanium alloys. An experiment on the influence of
the machining parameters on surface roughness is carried out using the Box-Behnken Design (BBD), then a quadratic predictive
meodel of surface roughness based on response surface method (RSM) is built. The optimum values of machining
parameters with respect to Ra are found through optimization.
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