Low-carbon Modeling And Process Parameter Optimization In Laser Additive Manufacturing Process

Manufacturing industry is the main area of China’s carbon emissions,accounting for about 80% of the total national emissions.Reducing carbon emissions from manufacturing industry is a necessary means for China to achieve carbon peak and carbon neutralization.Laser cladding technology has the advantages of high precision and high density,so it has been widely used in manufacturing industry.However,due to the long process of laser cladding technology and the incomplete conversion of electric energy into laser beam,a large number of carbon emissions will become one of the main carbon sources in the manufacturing process of high-end equipment in China.Therefore,the research on carbon emission modeling and optimization of laser additive manufacturing has important engineering significance for China’s laser additive manufacturing equipment industry to achieve carbon peak and carbon neutralization.Therefore,the LDM4030 laser equipment as the research object.the influence rule of carbon emission is explored,research on multi-objective optimization method of process parameters for carbon emission laser cladding,the main research contents are as follows.(1)Aiming at the difficulty of carbon emission modeling caused by complex laser cladding system and multiple process parameters,the carbon emission monitoring platform of LDM4030 laser cladding equipment was built.The carbon emission characteristics of laser cladding process were analyzed in depth,and the carbon emission model of laser cladding process was established.The influence of main process parameters on carbon emission during cladding process was explored,which laid the foundation for the optimization model of process parameters in the subsequent laser cladding process.(2)To solve the multi-objective optimization complicit problems of high carbon emission,high cost and unstable cladding quality in laser cladding process,a process parameter optimization method for laser cladding process based on improved artificial fish swarm algorithm and carbon emission is proposed.Aiming at carbon emission,powder utilization rate and cladding quality a multi-objective optimization model for carbon emission process parameters is formulated.And then an improved artificial fish swarm optimization algorithm is presented to handle the issue that it is blindness of finding parameter solution set and the poor uniformity of objective function solution set.In this way,the optimal process parameters of laser cladding process are obtained.(3)In order to verify the effectiveness and practicability of the optimized process parameters,LDM4030 laser equipment was used to gradually carry out single-pass single-layer-multi-pass multi-layer cladding replica experiments.The process parameters before and after optimization were compared and analyzed from the aspects of carbon emission,powder utilization rate and cladding quality,so as to realize multi-level and comprehensive verification of the optimized parameters.The work studies the multi-objective optimization of the laser cladding process in terms of carbon emission,powder utilization,and cladding quality.The algorithm is solved and experimentally validated for the optimization model of carbon emission for laser cladding manufacturing.The comprehensive evaluation results show that the prediction model with the above three optimization objectives can achieve the goal of reducing carbon emission,improving economic efficiency and ensuring cladding quality.