Application of Hybrid ANFIS Tool for Laser Beam Welding of Inconel 625 Alloy

Abstract

Over the past decade, there has been a steady rise in the application of laser sources; this has led to reduced costs and enhanced output. One aspect that has played a part and helped to the quickening of this phenomena is the invention of new techniques such as laser beam welding systems. These developments in technology have made it feasible to produce both tiny and large parts. The usage of nickel alloy can provide considerable benefits in a wide variety of contexts. The advantages acquired from combining difficult materials, such as metal alloys, are responsible for these benefits. Manufacturing equipment for the chemical, nuclear, maritime, aeronautical, and automotive industries all rely on components made from Inconel 625. It can withstand potentially corrosive situations without losing its outstanding mechanical qualities. Investigation of nickel alloy weldments is required for the improvement of the production method. The goal of this piece is to develop an ANFIS (Adaptive Neuro Fuzzy Inference System) based on Grey theory that can reliably forecast LBW variables. The values predicted by the model were compared with the results of the experiments, and it was discovered that the values found in the experiments are closely related to the values anticipated by the model. The manufacturer can make decisions that are more in accordance with the available facts due to the evidence provided by the performance investigation.