LASER-ASSISTED MACHINING OF NI-BASED SUPER ALLOYS: PREDICTIVE MODELING FOR SURFACE INTEGRITY OPTIMIZATION

Abstract

The present study investigates the effect of laser power on the machinability of a Nickel-based super alloy using laser assisted machining (LAM). The alloy was machined using a high-power laser, and the machinability was evaluated in terms of surface roughness. The results show that an increase in laser power leads to an improvement in machinability, with a decrease in surface roughness. The study concludes that LAM can be an effective method for machining Nickel- based super alloys and that laser power plays a critical role in determining the machinability of the material. This research provides valuable insights into the use of LAM for machining Nickel- based super alloys and can be used to optimize the machining process for this material. Finally, ANN model was used to optimize the process parameters.