Gasbag Polishing Track Optimization Research Based On The Smooth Control And Time Optimal

Moulds are widely used in the equipment manufacturing industry. However, theefficiency is low while great work force is needed, and the quality of workpiecesurface is not stable. Gasbag Polishing is a so far found technology which can achieveautomatic polishing with high-precision and high-efficiency. For the traditionalpolishing can’t control the experimental results, of which, the polishing effect isn’tcontrolled neither. A concept based on material removal function, error map and bydwell-time to obtain a kind of removing material precisely.This paper generally discusses the status of the Gasbag Polishing and the basictheory of this technology. It compares some different dwell time algorithms such asthe numerical optimization, convolution and deconvolution algorithm, matrixalgorithms. Also the author studied the instability of the gasbag polishing, It comparesthe raster tool path, the spiral tool path and the unicursal pseudo-random tool path.Eventually the numerical optimization is found as the best dwell time optimizationalgorithm, through edge control, process control, and setting processing parameters,smooth control is achieved, and we use the unicursal pseudo-random tool path toachieve simulation on computer using MATLAB software. To reduce the time, usinga B spline curve trajectory planning method realizes the optimization of the track, ashortest polishing track is found. In order to improve the quality of a workpiecesurface, a quaternion interpolation algorithm (QI algorithm) between two CL data isalso proposed, which can realize the smooth interpolation of robot end-effectorpositions and orientation, roughness is reduced and quality is better by using QIalgorithm compare to the others.There are certain theoretical guidance and technical reference value forpromoting the development of based on the smooth control and time optimal gasbagpolishing track optimization research.