Open AccessEffect of Machining Parameter and Multi-Response Optimization during End-Milling in GFRP-VARTM Composites using RSM Based Response Surface Regression Method
Author(s) -
Lockheed Martin,
Vishnukanthan Venkatachalapathy,
Ayakannan Selvaraju
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5262.118419
Subject(s) - response surface methodology , machining , materials science , fibre reinforced plastic , end milling , composite material , central composite design , composite number , molding (decorative) , carbide , computer science , metallurgy , machine learning
This paper is going to find out the correlation between cutting parameters and responses for GFRP composite material during end milling using the WC-CO tool. An experimental plan, based on Response Surface Methodology (RSM) techniques according to the Response Surface Regression (RSR), made up of Vaccum-Assisted Resin Transfer molding using solid carbide end mills. The objective of this paper is to investigate the machining parameters on glass fiber reinforcement polymer during the end milling process of a WC-Co cutting tool grade.