Research On Tool Path Optimization Of Flank Milling Of Undevelopable Ruled Surface Surface

With the continuous development of the equipment manufacturing industry, the continuous improvement of processing demand, more and more complex surface of free form,group and surface is applied to the design of civil and military. However, the existing CAM software has been unable to meet the side milling machining accuracy requirements, in order to better meet the processing requirements of precision and process, according to the requirement of this kind of complex surface flank milling we on the surface of the geometric properties and processing of specific analysis and research, through the establishment of side milling cutter tool axis trajectory optimization model, the of optimization; develop the first control theoretical error area between tool envelope surface and design surface to optimize the smoothness and continuity of the scheme.First of all, the theoretical basis of the surface is studied, and the geometric characteristics of the straight lines are analyzed, and the reasonable planning of the position between the cutter and the surface is studied. Using ACIS for interference detection technology design surface and the tool, and through research on the three points of the paranoid algorithm, optimization solution to deal with the average error of paranoid, based on the characteristics of cutter axis vector motion in space, proposed the establishment of the Gauss sphere cluster and optimize the adjacent cutter cutter shaft rotation, so as to optimize the initial cutter location smoothness.Secondly, research tool to optimize the overall method, according to the characteristics of the least squares method to optimize the proposed to optimize the surface error and the smoothness of the method. Through each knife cutter axis vector cluster a directed graph model, using the angular velocity weight belt in the Dijkstra algorithm of optimal model as the base solution is obtained. The method for solving the multi constrained, obtained by least squares optimization tool axis trajectory surface.Finally, according to the actual processing machine interpolation mode, intensivediscrete tool axis trajectory surface reasonable. Minimizing the geometric error of the design surface with the discrete tool bits in the case of the interpolation. By using C++ ACIS development platform to UG simulation software, the surface accuracy, surface smoothness and processing time are measured as the basis to verify the correctness of the optimization algorithm.