1.Laser Fusion Research Center,China Academy of Engineering Physics,Mianyang,Sichuan,621900
2.Key Laboratory of High Performance Manufacturing for Aero Engine,Ministry of Industry and Information Technology,Northwestern Polytechnical University,Xi'an,710072
Aiming at the problems of low polishing efficiency, difficulty in ensuring surface quality and profile accuracy of the leading and trailing edges of aero-engine blades, a study on the automated polishing processes for the leading and trailing edges of blisk blades was conducted. The influence of processing parameters on the size of the polishing contact area at the leading and trailing edges was analyzed, and a predictive model for normal polishing force was established, with a root mean square error of 1.24 N between the predicted and actual values. Based on the Preston equation, the effects of compression amount, spindle speed, sponge abrasive wheel radius, feed rate, and abrasive grit size on material removal in the polishing contact area were modeled. Experiments were conducted using the proposed predictive model for material removal depth at the leading and trailing edges. The experimental results show that the value of surface roughness of the blade leading and trailing edges is reduced to 0.18 μm, verifying that the predictive model may effectively forecast material removal depth. Additionally, the sponge abrasive wheel is proven to effectively improve the surface roughness of the blade leading and trailing edges.
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