In order to improve the surface roughness of the blade and set reasonable process parameters in advance,this paper ad-opted the processing method that the robot grips the blade and the abrasive cloth wheel as a polishing tool,and orthogonal test analysis was carried out on the abrasive cloth wheel polishing blade,combined with the multi-factor linear regression analysis method,the relationship between the surface roughness and four process parameters of polishing pressure,the particles number of abrasive cloth wheels,the blade feed speed,and the abrasive cloth wheel linear speed are researched,then established the blade sur-face roughness prediction model.Range analysis and variance analysis were used to investigate the influence of process parameters on blade surface roughness,and the better combination of process parameters was got.Finally,experiments verified the accuracy of roughness prediction model.The results show that the order of process parameters affecting the blade surface roughness is:polish-ing pressure＞blade feed speed＞abrasive cloth wheel linear velocity＞abrasive cloth wheel particles number.Under the condition that the surface roughness of the blade is Ra≤0.4μm,the optimal level combination of polishing processing parameters is:abrasive cloth wheels particles number(320#),abrasive cloth wheel linear speed(1.5mm/s),blade feed speed(12.147m/s),polishing pres-sure(10N).And the final blade surface roughness is in the range of 0.2 to 0.3,which meets the processing requirements.
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