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Mathematical modeling of delamination factor on drilling of ARALL composites through RSM

M.P. Jenarthanan (School of Mechanical Engineering, SASTRA University, Thanjavur, India)
Karthikeyan M. (School of Mechanical Engineering, SASTRA University, Thanjavur, India)
Naresh Neeli (Mechanical Department, Sree Vidyanikethan Engineering College, Tirupati, India)

Multidiscipline Modeling in Materials and Structures

ISSN: 1573-6105

Article publication date: 7 November 2017

Issue publication date: 9 November 2017

115

Abstract

Purpose

The purpose of this paper is to develop a mathematical model for delamination during drilling by using a response surface methodology (RSM) and also to determine how the input parameters (tool diameter, spindle speed and feed rate) influence the output response (delamination) in machining of fiber metal laminates.

Design/methodology/approach

Three factors and a three-level central composite design in RSM are used to carry out the experimental investigation. A video measuring system is used to measure the width of maximum damage of the machined FML composite. The “Design Expert 7.0” is used to analyze the data collected graphically. Analysis of variance is carried out to validate the model and for determining the most significant parameter.

Findings

The response surface model is used to predict the input factors influencing the delamination on the machined surfaces of the ARALL composite at different cutting conditions with the chosen range of 95 percent confidence intervals. Analysis of the influences of entire individual input machining parameters on the delamination has been carried out using RSM.

Originality/value

The effect of delamination on drilling of ARALL composites with solid carbide tools of various diameters has not been analyzed yet using RSM.

Keywords

Citation

Jenarthanan, M.P., M., K. and Neeli, N. (2017), "Mathematical modeling of delamination factor on drilling of ARALL composites through RSM", Multidiscipline Modeling in Materials and Structures, Vol. 13 No. 4, pp. 578-589. https://doi.org/10.1108/MMMS-01-2017-0003

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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