Effect of Machining Parameter and Multi-Response Optimization during End-Milling in GFRP-VARTM Composites using RSM Based Response Surface Regression Method

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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.

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Martin*, L., Venkatachalapathy, V. S. K., & Selvaraju, A. (2019). Effect of Machining Parameter and Multi-Response Optimization during End-Milling in GFRP-VARTM Composites using RSM Based Response Surface Regression Method. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 7180–7192. https://doi.org/10.35940/ijrte.d5262.118419

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