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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2011 Vol.3(4): 552-556 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.368

Billet Optimization for Steering Knuckle Using Taguchi Methodology

Nassir S. Al-Arifi, Abu S. Zamani, and Jalaluddin Khan

Abstract—In the present scenario of competitive production, Computer Aided Engineering (CAE) techniques have been applied with great success in metal forming research especially in the cold, warm and hot forging areas for meeting customer expectations. There is growing demand for more efficient and economic manufacturing process to reduce production cost, increase productivity, and reduce lead time and to improve product quality. The traditional forging die design procedure depends upon costly, tedious and time consuming shop floor trials before achieving final acceptable product. More difficulty is experienced when design requirements are stringent and die profiles are complicated. To overcome this problem, computer based simulation technology has come and brought some benefits for optimizing forging processes. In this paper, Taguchi optimization methodology is applied to optimize design parameters for steering knuckle die. Taguchi offers a simple and systematic approach to obtain optimal settings of the design parameters for steering knuckle die. The design parameters evaluated are flash thickness, flash land and billet shape each at three levels. To obtain the results the forging process was modeled (Catia 3D modeling software), simulated (Deform 3D forging simulation software) and examined using Taguchi’s L9 orthogonal array.

Index Terms—Optimization; design parameters; closed dieforging; simulation; taguchi method.

A. S. Zamani, Lecturer, Dept. of Computer Sc. King Saud University, Riyadh (KSA)
Al Arifi is with College of Science in King Saud University, Riyadh (KSA).
Jalaluddin Khan is with Department of Skill Development in King Saud University, Kingdom of Saudi Arabia.


Cite: Nassir S. Al-Arifi, Abu S. Zamani, and Jalaluddin Khan, "Billet Optimization for Steering Knuckle Using Taguchi Methodology," International Journal of Computer Theory and Engineering vol. 3, no. 4, pp. 552-556, 2011.

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