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Multi-objective Optimization Of Laser Cladding Process Parameters For Remanufacturing

Posted on:2020-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:X C XuFull Text:PDF
GTID:2381330575953166Subject:Full-time Engineering
Abstract/Summary:PDF Full Text Request
Remanufacturing is an important carrier for China's manufacturing industry to transform into ecological civilization and high-end intelligence.Laser cladding as a typical remanufacturing technology,the choice of process parameters directly affects the macroscopic morphology and forming quality of the cladding layer and thus affects the reliability and service life of the remanufactured workpiece.In this context,in order to optimize the comprehensive performance of the remanufacturing workpiece cladding layer,this paper analyzes the impact analysis and multi-objective optimization of the laser cladding process parameters.The Ni60 alloy powder was coated on the surface of 304 stainless steel.The single factor test of the design parameters was carried out to study the influence of process parameters on the macroscopic morphology and microhardness of the cladding layer.Based on the response surface method and the experimental design method,Center Composite Design was applied.Design-expert software establishes three prediction parameters of laser power,powder feeding amount and scanning speed for the regression prediction model of cladding layer aspect ratio,dilution rate and powder collection rate.The variance analysis is used to verify the reliability of the model.The perturbation and 3D response surface analysis of the interaction between process parameters and process parameters for each response target,providing basic data for subsequent multi-objective optimization of process parameters.Based on the comprehensive weighted score method and the analytic hierarchy process,the three response targets of cladding layer aspect ratio,dilution rate and powder collection rate are transformed into comprehensive targets,and the multi-objective optimization model of process parameters is established.On this basis,the response surface method and BP neural network-genetic algorithm are used to multi-objective optimization of process parameters for the comprehensive target,Carrying out verification experiments,the dilution ratio of the cladding layer after optimization by the two methods is controlled below 10%,and the aspect ratio is greater than 3,indicating the cladding layer.The combination with the matrix is tight,and the powder collection rate is greater than 0.5,which proves that the alloy powder entersthe cladding layer as much as possible.Comparing the two optimization methods,The multi-objective optimization of laser cladding process parameters by response surface method shows its unique advantages in the formation of cladding layer quality,macroscopic morphology and process parameters,which will lay the foundation for further improving the comprehensive performance of the remanufacturing workpiece.
Keywords/Search Tags:remanufacturing, lasercladding, processparameters, multi-objective optimization
PDF Full Text Request
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