Effect of Machining Parameter and Multi-Response Optimization during End-Milling in GFRP-VARTM Composites using RSM Based Response Surface Regression Method
L. Martin1, V.S.K Venkatachalapathy2, A. Selvaraju3
1L.Martin, Assistant Professor, Department of Mechanical Engineering Sri Manakula Vinayagar Engineering College, Pondicherry, India.
2V.S.K.Venkatachalapathy, Professor, Department of Mechanical Engineering, Sri Manakula Vinayagar Engineering College, Pondicherry, India.
3A.Selvaraju, Professor, Department of Mechanical Engineering, Pondicherry Engineering College, Pondicherry, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7180-7182 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5262118419/2019©BEIESP | DOI: 10.35940/ijrte.D5262.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: GFRP Composite, VARTM, RSM, RSR, Mechanical Properties.
Scope of the Article: Properties and Mechanics of Concrete.