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Electric Discharge Machining Method for various Metal Matrix Composite Materials
Author(s) -
Mumtaz Rizwee,
Sumit Swapnil Minz,
Md. Orooj,
Md. Zahid Hassnain,
Mohammad Junaid Khan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i8112.078919
Subject(s) - machining , electrical discharge machining , materials science , taguchi methods , metal matrix composite , abrasive , composite number , mechanical engineering , response surface methodology , composite material , metallurgy , computer science , engineering , machine learning
Among all the advanced Metal matrix composite (MMC) materials is among the important and beneficial materials for industry because of their characteristics such as high specific strength, high corrosive resistance, good wear resistance, light weight, and high thermal coefficient. It is very critical to do operation due to high hardness and reinforcement of the MMC by using conventional machining which is responsible for retard the development of MMC. Machining of MMC by using conventional machining process is a serious cause of higher Tool Wear Rate (TWR) because of abrasive properties of reinforcement particles. Machining of such materials can be done by using different type of non-convectional machining processes like that Laser beam machining (LBM) and water jet machining (WJM). But both processes are limited to linear machining only. This Articles represent a literature survey on Electric discharge machining (EDM) of reinforced MMC and different methodology used such as Analysis of variance (ANOVA), Response Surface Methodology (RSM), Taguchi methodology etc. which helps in optimizing the results. This review is analyzing the suitable process parameters and machining performance for machining of MMC and also reveals the research work area in which maximum research work can be done in future.

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