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Taguchi Grey Relationalapproach Foroptimizing Process Parameters of Laser Peeningontitanium Alloy to Induce Enhanced Compressive Stress Based on Finite Element Simulation

DOI:10.1142/S0219686720500183 期刊:Journal of Advanced Manufacturing Systems 出版年份:2020 更新时间:2025-09-23 15:21:01
摘要: Laser Shock Peening (LSP) turned out the most efficient surface engineering process for advanced materials to induce beneficial deep compressive residual stress which helps in improving mechanical, fatigue properties and surface damage resistance. But, analyzing the non-uniform distribution of residual stresses in the treated sample with XRD is much time taking and costly process. This problem can be resolved with LSP finite element numerical simulation model which is feasible with the realistic experimental process. The FE model allows the user to control the laser parameters in order to achieve the optimal level of all controllable parameters. The present study is intended to analyze and optimize the influence of laser processing parameters assists in inducing the residual compressive stress with minimal surface deformation.A Ti6Al4V material model with Johnson-Cook’s visco-elastic-plastic material behaviour law is prepared for LSP simulation. And Gaussian pressure profile is utilized for uniform loading of the targeted zone for the proposed model. Taguchi Grey Relational Analysis (TGRA) with L27 orthogonal array is applied to LSP simulation, and the results were analyzed with consideration of multiple response measures. It is noted that surface deformation is increased with the rise in a number of laser shots and pressure pulse duration. Maximum compressive residual stresses are falling for higher levels of laser spot diameter, Laser spot overlap and Laser Power density. The correlation is observed between FE simulation and published results. The optimal set of process parameters are obtained for improving the LSP on Ti alloys.
作者: G. Ranjith Kumar,G. Rajyalakshmi
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To analyze and optimize the influence of laser processing parameters in inducing residual compressive stress with minimal surface deformation on Ti6Al4V alloy using finite element simulation and Taguchi Grey Relational Analysis.

The study successfully develops a finite element model for LSP simulation on Ti6Al4V alloy, validated by correlation with experimental results. Taguchi Grey Relational Analysis identifies optimal process parameters for inducing compressive residual stresses with minimal surface deformation. The number of laser shots is found to be the most influential parameter, followed by laser peak pressure, spot diameter, pressure pulse duration, and spot overlap.

The study is limited to the simulation of LSP on Ti6Al4V alloy and does not account for all possible real-world variations in material properties and laser parameters. The validation is based on correlation with published results, which may not cover all aspects of the LSP process.

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