13th Annual International Conference on Industrial Engineering and Operations Management

Use of Taguchi Method-Based Design of Experiments (DOE) in the Optimization of the Drilling Parameters of Structural A572 Steel

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Track: Lean
Abstract

This paper presents an experimental study based on Grandspan Development Corporation that aims to find the combination of drilling parameters, namely: drilling speed, feed rate, and drill diameter, that would generate the optimal drilling time and material removal rate. A CNC FSD-1020 machine with low-carbon twist drill and a sample of A572 Steel was used for the experiment, whose data was analyzed with L9 orthogonal array. The Taguchi-based Design of Experiments was utilized in finding the optimal setting of the drilling parameters. Analysis of Variance (ANOVA) and Signal-to-noise ratio (S/N) were also utilized to determine and analyze which among the independent variables has significant effects and contributions on the response variables. Power Test was applied to check if the Power of the input parameters are acceptable. As generated by Stat-Ease, 1.8 mm/rev is the most optimum feed rate for all settings. Meanwhile, using Minitab, the drilling parameters with the minimum drill time are as follows: 390 rpm for cutting speed, 1.8mm/rev for feed rate, and 25mm for drill diameter; and, the optimal set of parameters with the highest material removal rates: cutting speed of 400 rpm, feed rate of 1.8mm/rev, and drill diameter of 25mm. ANOVA shows that drill diameter is the parameter with the most significant impact on drill time, and feed rate for material removal rate. The two most optimal sets of parameters for each drill diameter were also determined in the study.

Published in: 13th Annual International Conference on Industrial Engineering and Operations Management, Manila, Philipines

Publisher: IEOM Society International
Date of Conference: March 7-9, 2023

ISBN: 979-8-3507-0543-0
ISSN/E-ISSN: 2169-8767