Multi-objective Optimization Method Of Cutting Energy Consumption And Process Performance For Whirlwind Milling Of Screw

Whirlwind milling eliminates the use of coolant that cause environmental pollution in traditional processes.It is a typical green cutting process suitable for screw production,which has a broad application in the high-end precision CNC machine tool industry and high-quality screw processing.Whirlwind milling of screw has the characteristics of time-varied interrupted cutting,and multi-cutter incremental cutting with coupling motions,and whose process parameters are closely related to the energy consumption characteristics,and also have a decisive effect on the process performance.Separate consideration of cutting energy consumption may have a negative effect on the process performance,resulting in process performance can not be met.Fully understanding the optimization mechanism between cutting energy and process performance can effectively support the cutting process decision.At present,the researches on the coordination of cutting energy consumption and process performance of whirlwind milling of screw with complex working conditions are almost blank which is difficult to support the development of green and efficient screw manufacturing process technology.In this paper,the optimization of cutting energy consumption and process performance is discussed.The main work is as follows:Firstly,based on the establishment principle of index system,the index system of whirlwind milling of screw is established,including cutting energy consumption index and process performance index.On this basis,the effect and degree of influence of the process parameters of whirlwind milling of screw on the cutting specific energy,surface roughness and surface residual stress are analyzed,which provides support for the optimization mechanism of cutting energy consumption and process performance.Furthermore,based on the Box-benhnken test,a method of optimizing the process parameters of whirlwind milling of screw is proposed.Based on the gray relational analysis method and the entropy method,the forecasting model of the whirlwind milling process parameters of the gray relational degree is established.The optimal parameters combination of whirlwind milling are obtained by the response optimizer.Finally,a multi-objective optimization method of whirlwind milling of screw is proposed.Based on the determination of the restraint conditions,a multi-objective optimization model of whirlwind milling of screw is established.The Non-dominated Sorting Genetic Algorithm II(NSGA-II)is used to solve the multi-objective optimization model and the three-dimensional pareto solution is obtained.Then,the trade-off relationship between the three optimization targets is analyzed.The effectiveness of the optimization method was demonstrated by comparing the experimental data with the optimization results.