| Citation: | ZENG Ai, HUANG Fei, WANG Yuquan, et al. Modeling and robust optimization of grinding and polishing parameters of support casing[J]. Journal of Aerospace Power, 2024, 39（6）：20220678 doi: 10.13224/j.cnki.jasp.20220678
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Considering the difficulty of guaranteeing the surface quality of grinding and polishing of the inner hole of the support casing and the low grinding and polishing efficiency, the research on the influence of grinding and polishing process parameters on the surface quality was carried out. Based on Preston's theory, the material removal equation of spiral grinding and polishing was established, and the influence law of spiral grinding and polishing process parameters on surface quality was theoretically revealed. The variance sensitivity analysis was carried out through orthogonal experiments, and the influencing factors such as grinding wheel particle size, grinding wheel feed speed, grinding wheel rotation speed and polishing time on the material removal rate and roughness were found out. On this basis, taking the material removal rate and roughness as the optimization research objectives, a robust optimization design mathematical model based on the Kriging response surface approximation model was constructed, and the particle swarm algorithm was used for calculation and solving, bringing about 2611 sets of optimization solutions. Combined with practical engineering requirements, the optimal process parameters include target particle size 1400, feed speed 3 mm/s, rotational speed 3600 r/min, and polishing time 9 min, providing a technical support for the improvement of process quality in the field of grinding and polishing engineering.
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