MODELING AND ANALYSIS OF MATERIAL REMOVAL RATE IN LOW POWER LASER ENGRAVING PROCESS BASED ON STATISTICAL ANALYSES
Keywords:
Low Power Laser, Thermoplastics, Material Removal Rate, ANOVA , Signal-to-Noise RatioAbstract
Material removal rate is an important factor which decides productivity of any machining process. This paper focuses on effects of machining parameters on material removal rate in the low power continuous wave (CW) CO2 laser cutting of thermoplastic materials. The effect of machining parameters, such as laser beam power, cutting speed and focal length offset of focusing lens on material removal rate has been studied using statistical techniques. An L18 (21×37) Taguchi standard orthogonal array was chosen for the design of experiments. The level of importance of the machining parameters on the material removal rate was determined by using analysis of variance (ANOVA). The optimum machining parameters combination was obtained by using the analysis of signal- to-noise (S/N) ratios. The variation of material removal rate with machining parameters was mathematically modelled by using the regression analysis method. Finally, experimentation was carried out to identify the effectiveness of the proposed method. The presented model is also verified by a set of verification tests.
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