Investigation and TGRA based optimization of laser beam drilling process during machining of Nickel Inconel 718 alloy

In this present study, an effort is needed to build a decision-making process based on multiple criteria in laser beam drilling process for enhancing machining process measures of Nickel Inconel 718 alloy. The present study proposed Taguchi-Grey Relation Analysis (TGRA) to obtain optimal process factors for deriving better material removal rate and surface finish with lesser taper angle in the machining process. It is an essential to enhance the laser cutting mechanism for obtaining better surface quality measures. Power [laser] (2 KW), the distance of nozzle (0.7 mm), focal-length ( thorn 2 mm) and the gas-pressure (3 bar) were selected as optimal factors with accuracy of 4.2%. Gas pressure has the dominant role on the performance measures in LBM owing to its significance of concentrated energy. The surface topography could be obtained with negligible micro cracks on machined specimen under the proposed optimal process factors. (c) 2022 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND

Automated summary

This study proposes a decision-making process based on multiple criteria for laser beam drilling process to enhance the machining process measures of Nickel Inconel 718 alloy. By utilizing Taguchi-Grey Relation Analysis (TGRA), optimal process factors were obtained to improve the material removal rate and surface finish. The results show that gas pressure plays a dominant role in the performance measures of Laser Beam Machining (LBM) due to its concentrated energy.