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    Optimization of Laser Beam Cutting Machining Parameters Using Anova and Regression Models
    (2022) ;
    Sridevi K
    ;
    Bellad S.
    The laser beam cutting machining (LBM) process is most extensively used for the making of reliable and complex geometrical shapes on various metals like ceramics, plastic, ferrous, stones and non-ferrous components. The parameters like cutting speed, laser power, gas power, pulse energy, temperature line spacing, scanning speed, etc., will affect the process. Also the three levels for each parameter to be considered to get optimum parameters for the machining process. Using analysis of variance (ANOVA) and regression in Minitab, the percentage of the effect of parameters by considering cutting speed, laser power and gas power. The results of main effect and optimization plots show that cutting speed plays a vital role in detecting the roughness of the surface. The most noteworthy parameters like cutting speed and laser power affecting the roughness of the surface majorly compared to gas pressure. The optimal parameters and levels are determined using Taguchi methods. � The Electrochemical Society