Cutting Force Analysis And Experimental Research Of SLM Aluminum Silicon Alloy Parts

Selective laser melting(SLM)additive manufacturing technology has the ability to manufacture extremely complex components,which provides technical support for the integrated manufacturing of high-performance components.However,in the process of interaction between laser and materials,there are many factors that directly affect the surface accuracy and roughness of components.Among them,the surface roughness and precision of SLM are the important factors that restrict its development.SLM additive manufacturing technology and machining is one of the inevitable trends of development,so the research of SLM metal cutting is very important.In this paper,the milling process of SLM Al-20 Si alloy is studied.The main research contents are three-dimensional simulation,milling parameter optimization,process experiment,establishment and comparison of predictive force model.In the aspect of three-dimensional finite element simulation,the advantage software is used to simulate the milling of aluminum silicon alloy parts,and the relationship between milling force,milling temperature and milling parameters is analyzed.In this paper,the analysis parameter design of three-dimensional simulation is based on the orthogonal experiment,and the influence of each factor on milling force and milling temperature is clarified.The single factor experiment design is carried out for each factor,and the influence of each factor on milling force is analyzed.In the aspect of milling experiment,this paper uses Kistler three-way force measuring instrument to carry out SLM aluminum silicon alloy milling experiment,and analyzes the results of milling experiment.The error between the main milling force and the three-dimensional simulation milling force is less than 10% to verify the reliability and accuracy of the simulation model.In the aspect of establishing milling force prediction model,the main milling force prediction model of Al-20 Si is established based on BP neural network design model parameters.Based on the experimental data,the model is trained and verified.Based on the empirical formula of milling force and the optimization of calculation process,the empirical formula model of main milling force is established.By comparing the advantages and disadvantages of the two prediction force models,it is found that the formula model has better fitting prediction effect.The research results in this paper are beneficial to enrich the milling theory of SLM aluminum-silicon alloy,and can provide theoretical guidance for the integration of SLM aluminum-silicon alloy addition and reduction materials.