Establish removal function and optimization of parameters based on steel polishing with an elastic polishing wheel device

Abstract

The service surface of SKD11 steel needs to meet mirror roughness. Traditional grinding and polishing method is time-consuming and the quality of polished surface is difficult to guarantee due to the high hardness of SKD11 after quenching. Based on the elastic abrasive, a novel type of elastic polishing wheel device, which is designed by us, is illustrated, and optimizing the combined polishing parameters in this paper is introduced. The Preston equation and the Hertz contact theory were used to establish the material removal model for polishing work piece surface with a novel elastic polishing wheel device. The removal model is close to Gaussian distribution through matlab simulation. Then grinding and polishing experiments on end face of SKD11 steel using elastic abrasive are carried out. A multi-index optimization was realized by the Taguchi method and Grey Relation Analysis (GRA). The results showed that setting cut depth exerts the most important influencing factors on material removal and abrasive wear. On the other hand, the optimized parameters combination of grinding and polishing is 80#, 1500 r/min grinding speed, 0.3 mm setting cut depth and 2 mm/min feed rate.

Keywords

Eastic polishing wheel device gaussian distribution optimized parameters

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