Laser Assisted Micromilling Of Silicon Carbide Particle Reinforced Aluminum Matrix Composite

Silicon carbide particle reinforced aluminum matrix composite material(Si C_p/Al)has excellent mechanical properties such as light weight,high hardness and high strength,so it is widely used in aerospace and other fields.However,it is because of the high strength hardness that it is difficult to process.Machining tool wear and machining surface quality is always a problem in the industry.In this paper,Si C_p/Al are processed by laser-assisted micro-milling,and the process is simulated by finite element method.By exploring the influence of machining parameters on cutting force and surface roughness,the machinability of materials under different parameters is compared,and the removal mechanism of materials is studied to determine the optimal combination of cutting parameters.In this paper,the microscopic material removal mechanism was analyzed through simulation,and the relationship between laser power and temperature was determined through theoretical modeling and thermal simulation,so as to provide the laser power parameter range for the experiment.Through single factor experiment and optimization experiment,the optimal cutting parameters are determined,so as to reduce tool wear and improve the surface machining quality.Firstly,finite element software ABAQUS was used to model and simulate the cutting process of aluminum-based silicon carbide with a volume fraction of 60%,so as to analyze the material removal mode and the stress-strain distribution of the material.By summing up composite material modeling methods at home and abroad,the micro-milling model of Si C_p/Al was established,and the simulation analysis was carried out according to the relative position between the particle and the cutting tool.Secondly,theoretical and simulation analysis of laser heating temperature field is carried out to explore the heating mechanism of laser on materials and the corresponding heating temperature under different laser power.In the cutting simulation model,the temperature field was pre-added to study the variation of cutting force at different temperatures,and the laser power parameters were selected for the subsequent experiments.Then single factor experiment was carried out,and the milling experiment was carried out on the aluminum-based silicon carbide material with volume fraction of15%and 60%respectively,to obtain the influence of volume fraction,milling depth,spindle speed and feed per tooth on cutting force,machining surface quality and tool wear.The Si C_p/Al with a volume fraction of 60%was milling with laser-assisted processing,and its material removal mechanism was studied under laser-assisted processing to verify the advantages of laser-assisted processing.Finally,the laser-assisted optimization experiment was carried out on the Si C_p/Al with a volume fraction of 60%.Taguchi experiment design method and response surface method were used to study the influence of each parameter on surface roughness and cutting force.The optimal parameter combination was determined by variance calculation,so as to ensure that the tool wear was reduced and the machining cost was reduced under the condition of higher machining efficiency.