Statistical Analysis of Parameters Affecting the Mechanical Properties of Surface Composite Al7075/Al2O3 Produced by Friction Stir Processing Using Response Surface Methodology

Authors

1 Faculty of Mechanical and Mechatronics Engineering, Shahrood University of Technology, Shahrood, Iran.

2 Department of Mechanical Engineering, Malayer University, Malayer, Iran.

Abstract

In order to improve the properties of aluminum and its alloys, various solutions have been considered, such as: reduction of grain size, addition of alloying elements and composite manufacturing. In this regard, the use of solid-state processes such as friction stir processing (FSP) to create surface composite at temperatures below the melting point is very suitable. Hence, considering the FSP ability as a thermo-mechanical process and its advantages in the production of surface composite, in the present study, the Al7075 surface composites with the use of reinforcing particles (Al2O3) were produced using this process in accordance with the DOE principles. To this end, the response surface methodology (RSM) was selected as the experiment design technique. So, the factors such as: tool rotational speed, tool feed rate, tool shoulder diameter, and reinforcing particle size were identified as the input variables. Then, statistical analysis of variables affecting the mechanical properties of surface composite Al7075/Al2O3 was performed. The obtained results from analysis of variance (ANOVA) and regression analysis of experimental data, confirmed the accuracy of regression equations. Furthermore, it is shown that the linear, interactional and quadratic terms of the input variables are effective on the yield strength and hardness of the composite samples. Also, the tool feed rate and the reinforcing particle size were introduced as the most effective linear factors on the yield strength and hardness of the composite components, respectively.

Keywords

Main Subjects


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