Paper Contents
Abstract
Al, SiCp MMCs have wide range of applications in aerospace, automotive and electronics engineering due to its excellent properties compared to other conventional materials. Conventional machining process shows difficulties in machining of these advanced materials due to several reasons like high tool wear, poor surface roughness, high machining cost etc. Therefore, different researchers have utilized several advanced machining methods like electro discharge machining, electrochemical machining, ultrasonic machining etc. for effective machining of these composites. In this present work, ECM and EDM have been selected for machining of MMCs towards obtaining high product quality and satisfactory process performance yield. It is utmost important that several process parameters of ECM and EDM need to be precisely controlled as well as optimized. Taguchi method is generally used only for optimizing single response. As these processes are involved with multiple response characteristics; exploration of an appropriate multi-objective optimization technique is indeed essential. Therefore, this thesis work represents case study on selection of optimal machining parameters in ECM of Al15%SiC composites using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) integrated with Taguchi method and further utilizing another hybrid method Grey-Fuzzy Logic coupled with Taguchis optimization philosophy. The performance characteristics: Material Removal Rate (MRR) and surface roughness have been considered for optimizing the machining parameters (feed rate, voltage and electrolytic concentration).
Copyright
Copyright © 2025 Kriti Sahu. This is an open access article distributed under the Creative Commons Attribution License.
