Parametric Optimization of Friction Stir Welded AA2024 using Regression Methods

2021-28-0223

10/01/2021

Event
International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility
Authors Abstract
Content
In this study, a model to optimize the friction stir welding parameters which were rotational speed, welding speed, axial force, tool pin profile, and tool material was established. The target of any design is to maximize the welded properties either to get the base metal properties or higher than that. The model constructed is the result of various regression methods which are quantified for adequacy. In this model, we have taken three levels of varying shoulder diameters, rotation speed, welding speed, tilting angles. A mathematical model is developed for the effect of four process parameters at three levels using response surface methodology (RSM). Analysis of variance (ANOVA) technique is used to check the adequacy of the developed mathematical model. The experimental and predicted values of the mechanical properties are correlated.
Meta TagsDetails
Citation
Ramasamy, M., Kesavan, G., Settu, N., Subramanian, A. et al., "Parametric Optimization of Friction Stir Welded AA2024 using Regression Methods," SAE Technical Paper 2021-28-0223, 2021, .
Additional Details
Publisher
Published
Oct 1, 2021
Product Code
2021-28-0223
Content Type
Technical Paper
Language
English