Experiment of Simulated Annealing Genetic Algorithm in NC Machining of Free-Form Surface
In the processing of free-form surfaces,it has been facing the problem of long processing time.The purpose of this re-search is to improve processing efficiency.By analyzing the surface curvature,residual height and other parameters of the free-form surface,a reasonable processing step length and line spacing are calculated.Based on this,the surface to be processed is dis-cretized into a point cloud,which is the knife contact point.Convert the tool path planning problem into the optimal solution to solve the TSP problem,In order to prevent the genetic algorithm from falling into the local optimal solution prematurely,the simu-lated annealing algorithm is introduced to improve it.Use the improved hybrid algorithm to optimize the tool path.The optimiza-tion method is simulated,experimented and measured.The results show that the optimized method reduces the tool path length by up to 303.4mm compared with the traditional method,which is a relative reduction of 12.3％.The processing efficiency has been improved significantly,and the processed surface has also achieved better processing results.
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