Parametric Optimization of Age Hardenable Aluminum Alloys Using TGRA Coupled with PCA

Abstract:

We investigated multi objective optimization on age hardenable aluminum alloys (AA2024 and AA6061) using Taguchi based grey relational analysis (TGRA). We considered three significant process parameters such as rotational speed, welding speed, and axial force and evaluated the welding responses such as ultimate tensile strength and tensile elongation of fabricated weld specimens. Principal component analysis (PCA) was applied to estimate accurate weighting quality characteristics of each response in TGRA. Optimized process parameters were 1700rpm rotational speed, 60mm/min welding speed and 6kN axial force. Results of this approach will be useful in controlling the process parameters effectively.

• Periodical: Applied Mechanics and Materials (Volumes 813-814)
• Pages: 613-619
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.813-814.613
• Online since: November 2015
• Authors: D. Vijayan*, V. Seshagiri Rao
• Keywords: Friction Stir Welding, Grey, Optimization, Orthogonal, PCA, Taguchi

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