MUMTAZ RIZWEE
@nitjsr.ac.in
PhD Scholar (Department of Mechanical Engineering)
National Institute of Technology Jamshedpur
EDUCATION
I have passed my BTech in Mechanical Engineering from WBUT university in 2013 and M.E. in Manufacturing Technology (Mechanical Engineering) from Panjab University in 2020. Now I am perusing my PhD in Mechanical Engineering (Design) from NIT Jamshedpur.
RESEARCH INTERESTS
additive manufacturing, composite materials, mechanical properties, optimization techniques, advanced manufacturing process.
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Mumtaz Rizwee, P. Sudhakar Rao, and Mohd. Yunus Khan
CRC Press
Mumtaz Rizwee, P. Sudhakar Rao, and Md Fuzail Ahmad
SAE International
Mumtaz Rizwee and Md Fuzail Ahmad
Springer Science and Business Media LLC
Mumtaz Rizwee and Md Fuzail Ahmad
SAE International
Mumtaz Rizwee, P. Sudhakar Rao, and Mohd. Yunus Khan
Elsevier BV
Mumtaz Rizwee, , Sumit Swapnil Minz, Md. Orooj, Md. Zahid Hassnain, Mohammad Junaid Khan, , , , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
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.