Multi-step CNC Turning Process Parameter Optimization Method based on Differential Evolution Algorithm

In order to choose a set of reasonable CNC turning process parameters, a multi-step and multi process combination optimization method was proposed, in which both rough / finish machining, multiple pass in rough machining, cutting speed varying with workpiece size and tool life constraints were considered. Firstly, the number of tool passes was determined according to the cutting depth of rough / finish machining, and then the calculation method of cutting time was determined; And then, the model constraints including cutting parameters, cutting force, cutting power, tool life and machined surface quality were established, and the optimization model of multi-step CNC turning process parameters with the total cutting time of rough / finish machining as the goal was established, and the model was solved by differential evolution algorithm; Finally, the above optimization algorithm model was encapsulated, and a remote call CNC turning process parameter optimization software system was developed based on Java, and the effectiveness and feasibility of the proposed method were verified by an example of process parameter optimization.