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Optimization of Surface Roughness and Power Consumption in laser-assisted machining of Inconel 718 by Taguchi based Response Surface Methodology
Published in Elsevier BV
2018
Volume: 5
   
Issue: 5
Pages: 11326 - 11335
Abstract
Inconel 718 a difficult-to-machine material is used in critical aero engines components. Surface roughness (product quality) and power consumption (energy efficiency) are two important benchmark factors for manufacturing industry as it deserves to determine the optimal design points in laser assisted machining (LAM) for sustainability performance of the machining process. Moreover, the optimization of laser beam angle and laser power along with technological parameters (cutting speed, feed rate) is not reported in the literature during laser-assisted machining (LAM) of Inconel 718. In this context, it is worthy to investigate the effects of these parameters on these two quality characteristics during the LAM of this fantastic material. Laser aided machinability experiments are carried out with coated carbide insert at three different cutting speeds (60, 105 and 150 m/min), three different feed rates (0.05, 0.0875 and 0.125 mm/rev), three laser power (1250, 1500 and 1750 W) and three laser beam angle (60, 70, 80 deg) under lased-aided dry cutting conditions. The percent contribution of the main effects of the cutting parameters to the quality parameters is determined using analysis of variance (ANOVA), and predictive linear equations are developed for the estimation of all the quality characteristics. Thereafter, optimal cutting parameters are obtained. © 2017 Elsevier Ltd.
About the journal
JournalData powered by TypesetMaterials Today: Proceedings
PublisherData powered by TypesetElsevier BV
ISSN2214-7853
Open AccessNo