Multi-Objective Optimization Of Cutting Parameters Of SiCp/Al Composite Based On Low Energy Consumption

With the increase of energy cost and the government's requirements for the environment,as well as the environmental problems such as climate change and global warming,the importance of reducing energy consumption cost and carbon emissions of manufacturing enterprises is increasing day by day,and reducing machine tool energy consumption is a prerequisite for manufacturing energy conservation.In energy consumption,cutting energy consumption is related to cutting parameters,tool geometry parameters and cooling and lubrication conditions.Reducing cutting energy consumption is the most direct way to reduce energy consumption of machine tools.SiC particle reinforced aluminum matrix(SiCp/Al)composite is widely used in many fields due to its good physical and mechanical properties.However,due to the poor machinability of SiCp/ Al composite,serious tool wear and poor machining surface quality exist during machining,which affect its good application in engineering field.In order to study the cutting performance of SiCp/Al composite,the cutting parameters optimization of SiCp /Al composite was studied.The main contents of this paper are as follows:1.The concept and characteristics of energy consumption of machining system are introduced,and the energy consumption of machining system is modeled in the form of mathematical formula.Based on the expression,the expressions of energy utilization and specific energy are further derived to lay the foundation for the follow-up.2.In order to explore the optimal cutting parameters that affect the power in highspeed turning and obtain better power values,16 sets of orthogonal experiments are designed based on four cutting parameters,i.e.cutting radius,cutting depth,feed rate and cutting speed.Through the orthogonal cutting experiment,the power values of four cutting parameters at different levels are obtained.The best machining parameters of SiCp/Al composite material in high-speed turning are studied by Taguchi method,and the empirical formula of power is established.3.In order to meet the requirements of cutting parameters for multiple processing indexes(surface roughness,power,energy consumption and material removal rate),the turning experiment of high volume fraction SiCp/Al composite material was carried out by bar turning technology under dry condition.Design and carry out orthogonal test,through Taguchi method to study the influence of the four processing process indexes of surface roughness,power,energy consumption and material removal rate of processing high volume fraction SiCp/Al composite.Based on the analysis of signal-to-noise ratio variance and energy utilization,the optimal cutting parameters under different conditions are obtained.4.In order to comprehensively consider the machining process indexes of machine tools and find better combination of cutting parameters from the aspects of quality,energy consumption and efficiency,on the one hand,a mathematical model based on polynomial regression equation is proposed to increase the contrast experiment and verify the reliability of the model.The analysis results show that the polynomial regression equation is better than Taguchi in predicting the best surface roughness,power,energy consumption and material removal rate The method has better performance.In order to further predict the machining process index of the machine tool,the gray correlation method is used for multi-objective overall optimization.After considering the weight of all objectives,the multi-objective optimization of cutting parameters of SiCp/Al composite material is realized only once,and the optimal cutting parameters combination is obtained.