关键词: 灰色关联度分析, 响应面法, 端面抛磨, 表面粗糙度, 橡胶软模

Abstract: In order to solve the problems of uneven fitting clearance between rib strip and skin on the composite reinforced siding plates, a rubber soft die should be pasted on the surface of rigid die. The rubber soft die should be polished to eliminate fitting clearance. However, if polishing parameters were not proper, the surface of rubber soft mold was easy to get hairy, and the roughness value was too large, which was easy to absorb polishing dusts. Aiming at the above problems, a set of robot-based polishing and dust removal system was built for end face polishing of rubber materials. The influences of polishing parameters, such as abrasive particle size, polishing rotation speed, polishing pressure and edging distance on the surface roughness were explored. A method was proposed to predict the surface roughness of rubber polishing by robot based on GRA-RSM, which might be used to establish the prediction model of roughness(Ra) of the rubber materials after polishing. The fitting coefficient R2 value of the model is as 0.9878, which indicates that the model fits well. The root mean square error between the predicted value of Ra calculated by the model and the observed value is as 0.014 47, which verify the validity of the prediction model. Based on the prediction model, the parameter combination with the minimum roughness Ra value(3.3 μm) is obtained(polishing rataion speed 4158.9 r/min, polishing pressure 38.4 N, and edging distance 30 mm).

Key words: grey relational analysis(GRA), response surface methodology(RSM), end face polishing, surface roughness, rubber mold