MOJAYA Coupled with R-method for Optimization of Machining Parameters Used in the Generation of Micro Holes on GFRP Composite Using an In-House Developed µ-ECDM System

Abstract

Glass fiber reinforced plastic is a highly versatile composite with properties such as high strength, flexibility, durability, stability, lightweight, and resistance to heat, temperature, and moisture. It is commonly used in automobiles, aerospace, construction, power generation, and manufacturing. Owing to these numerous applications, machining holes in GFRP composite has become the need of the day. This paper focuses on machining microholes in GFPR composite using an in-house developed µ-ECDM system. The process parameters selected for machining are voltage (V), concentration (wt%), and duty factor (DF), and the machining characteristics chosen are material removal rate (MRR) and overcut (OC). The machining parameters are optimized using the multi-objective JAYA algorithm coupled with the multi-attributed decision-making technique R-method to find the most favorable responses for machining GFRP composites. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.