Research on polishing parameters optimization for free curved surface

Parameters controlling is a key task during the polishing process with automatic mechanical polishing system, as choosing and controlling the available technical parameter would improve surface quality and achieve smoothly remove surface material. It is necessary to optimize the process parameters for obtaining smooth and uniform polishing surface. In order to realize the control of controllable process parameters, this paper is to study the relationship between surface roughness and parameters of process, such as the normal pressure, circular velocity of the tool and feeding speed by regression analysis method. The polishing of curved surface is complicated and many factor have an effect on the final polishing results. On this basis, it established a surface roughness model for free curved surface. Combined genetic algorithm and surface roughness model, an optimized process parameters model was derived to adapt to the changeable surface of work pieces, and validation experiments are performed on curved surface. The experimental results show that the proposed parameter adjustment strategy is able of achieving a smooth surface and keep good uniformity. It provides a technical basis for removing the material of hub surface smoothly and evenly with robot.