The invention discloses a
cutting parameter segmentation and variable
cutting depth optimizing method based on dynamic
machining feature. Firstly, a workpiece model is analyzed by
finite element software, thus obtaining the initial
frequency response function of the workpiece; the middle
machining state of the workpiece is obtained basing on the
process information of the workpiece; then the real time
frequency response function of the workpiece is predicted basing on the modified modification matrix of the workpiece structure and the obtained initial
frequency response function of the workpiece, the cutter point frequency response function of a cutter is obtained through a test; the frequency response function of the middle
machining state is calculated; further a stable lobe graph is built; a
cutting depth range and a rotating speed range are selected in the lobe graph; other constraint conditions are taken into consideration at the same time; an optimization model is built basing on the
genetic algorithm; and then the feeding speed at a corner is optimized according to the moving feature of a
machine tool. According to the invention, the cutting parameters are optimized basing on the dynamic machining feature; the machining quality is ensured; the machining efficiency is improved; the
dynamic feature of the
machine tool is taken into consideration in the segmentation optimization process, therefore the moving stability of the
machine tool is ensured.