الفهرس 
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Abstract
The objective of this study is to apply Taguchi optimization methodology to optimize Laser beam cutting parameters of Stainless steel(316L) to achieve optimal AverageKerf Taper (Ta), Surface Roughness (Ra) and Heat affected zone (HAZ). A series of experiments are conducted using (LBM) to relate machining parameters to several quality responses. Analysis of variance (ANOVA), Analysis of mean (ANOM), Orthogonal array (L27OA) and signal to noise ratio are employed to analyze the influence of process parameters. The machining parameters are machining on power (Watt), oxygen pressure (MPa), pulse frequency (Hz) and cutting speed (cm/min). Another objective is to build mathematical models for averagekerf taper and average surface roughness as function of significant process parameters using Response Surface Methodology (RSM).
RSM models are developed for mean responses, S/N ratio, and standard deviation of responses. Optimization models are formulated as single objective problem subject to process constraints.