Open AccessApplication of Gray Relation Analysis for Multi-Response Optimization of Plasma Heat Assisted Turning Performance
Author(s) -
Thella Babu Rao,
Venu Pilli,
Nallamotu Revanth Sai Venkat,
N Pavan,
Thalari Shiva Ram
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.32.15389
Subject(s) - machining , surface roughness , grey relational analysis , mechanical engineering , materials science , surface finish , hardened steel , response surface methodology , process (computing) , computer science , metallurgy , engineering , composite material , mathematics , statistics , machine learning , operating system
This paper presents optimization of plasma heat assisted turning process for machining hardened EN24 die steel (53HRC) by using gray relational analysis. Flank wear and surface roughness (Ra) are experimentally measured as the process performance characteristics under varying conditions of preheating temperature, cutting speed and cutting length. The plasma heating approach was implemented to preheat the workpiece. The machining experiments were conducted according to the L16 design of experiments. Since the chosen machining performance indicators are found with confliction for the chosen process variables, the problem is treated as multi-response optimization problem to minimize the tool wear and surface roughness simultaneously. Therefore, the problem was solved by implementing the gray relational analysis and the derived optimal machining conditions were analysed and reported.