Offline Feedrates Optimization For Trochoidal Toolpath

In recent years, more and more widely as high-speed milling, trochoidal milling toolpaths are increasingly used in a narrow cavity milling roughing. However, due to the theoretical cycloid toolpath planning policy is still not perfect, there is a tool path redundancy in the practical application of more sophisticated toolpath planning cavity, the material removal rate fluctuations in different periods of serious, long cut air travel and other issues affecting the efficiency. For these problems, the paper feed speed off around the prediction based on the optimization of the cavity cycloid processing methods studied, include:The establishment of a parametric model of variable radius cycloid toolpaths. Comparative analysis of the constant stride(S) with constant radial depth of cut(Rdc) cycloid generation strategy, a mathematical model of the cavity is connected to the center line of trajectory planning, improved variable radius cycloid mathematical model complex cavity adaptability, reduced its tool path redundancy. At the same time, this model easy to program.Proposed based on the characteristics of the machine feed feed rate forecast offline optimization methods. By satisfying the machine feed characteristics, planning the optimal cutting stroke cycloid feed rate, and can control the material removal rate exceeded the cycloid optimal feed rate cut air travel; cut air travel and by cutting stroke junction prediction and slow down in advance, to avoid the material removal rate over the issue of the connection; two in order to verify the material removal rate and cutting force optimization objective optimization strategy.Development of CAM tool path generation plug-in. First cavity realized obtain data by SolidWorks platform; secondly extracting the cavity centerline data in MATLAB platform Voronoi diagram algorithm; and finally developed the theory and cycloidal speed optimization algorithm herein strategy.Experimental platform, on the theory raised by the application verification. Based on the experimental platform, cutting force and milling efficiency from two aspects were two narrow cavity processing experiment, three groups of different parameters constant feed rate cycloid processing experiment, two groups of material removal rate model based feed optimization of processing speed prediction based on experiments and two cutting force model to predict the feed rate optimization of feeding experiments. The results show that the proposed strategy can better adapt cavity machining, milling with a stable force, and improve processing efficiency and thus has a certain value.