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Response Surface Methodology Approach for Predicting Grain Size and Tensile Strength of Friction Stir Welded AA 1100 Aluminium Alloy Joints


Affiliations
1 Centre for Materials Joining and Research (CEMAJOR), Dept. of Manufacturing Engg., Annamalai University, Annamalai Nagar, Tamilnadu, India
     

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This paper reports empirical relationship to predict grain size and tensile strength of friction stir welded (FSW) AA 1100 aluminium alloy joints. Six factors, five level, central composite rotatable design matrix is used to predict the experimental conditions. The empirical relationships are developed by response surface methodology (RSM) incorporating tool and process parameters.

Keywords

Welding, ANOVA, Aluminium, Microstructure.
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  • Response Surface Methodology Approach for Predicting Grain Size and Tensile Strength of Friction Stir Welded AA 1100 Aluminium Alloy Joints

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Authors

S. Rajakumar
Centre for Materials Joining and Research (CEMAJOR), Dept. of Manufacturing Engg., Annamalai University, Annamalai Nagar, Tamilnadu, India
V. Balasubramanian
Centre for Materials Joining and Research (CEMAJOR), Dept. of Manufacturing Engg., Annamalai University, Annamalai Nagar, Tamilnadu, India

Abstract


This paper reports empirical relationship to predict grain size and tensile strength of friction stir welded (FSW) AA 1100 aluminium alloy joints. Six factors, five level, central composite rotatable design matrix is used to predict the experimental conditions. The empirical relationships are developed by response surface methodology (RSM) incorporating tool and process parameters.

Keywords


Welding, ANOVA, Aluminium, Microstructure.