4th North American International Conference on Industrial Engineering and Operations Management

Empirical Modeling and Multi-Attribute Optimization of Al7075 Using Response Surface Methodology-Based Desirability Approach

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Track: Manufacturing
Abstract

This research reports the optimization of milling process for Al7075 aerospace alloy under dry cutting conditions employing Response Surface Methodology (RSM). The influence of various control parameters such as spindle speed (RPM), feed rate (ƒz) and axial depth of cut (ap) are examined to improve the surface roughness (Ra) and the material removal rate (MRR). A set of 20 test trials using a central composite design (CCD) is utilized for the design of experimentation (DOE). The second-order polynomial regression equations are developed to predict the response attributes. In addition, the RSM-based parametric and variance exploration is made to quantify the effects of milling variables on the output characteristics. Lastly, the RSM-based Desirability Function is adopted for multi-attribute optimization. By applying this approach, the following have been obtained: a minimum Raof 0.26 µm and maximum MRR of 2196E+04 mm3/min at the spindle speed 2577.32 rpm, the ƒz531.650 mm/min, and the ap4.6330 mm. 

Published in: 4th North American International Conference on Industrial Engineering and Operations Management, Toronto, Canada

Publisher: IEOM Society International
Date of Conference: October 25-27, 2019

ISBN: 978-1-5323-5950-7
ISSN/E-ISSN: 2169-8767