MODELING AND OPTIMIZATION OF PROCESS PARAMETERS OF THE PISTON ALLOY-BASED COMPOSITE PRODUCED BY FSP USING RESPONSE SURFACE METHODOLOGY

M. Akbari, P. Asadi, M. R. M. Aliha and F. Berto
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M. Akbari: Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran 1435761137, Iran
P. Asadi: ��Department of Mechanical Engineering, Faculty of Engineering, Imam Khomeini International University, Qazvin 3414896818, Iran
M. R. M. Aliha: ��Welding and Joining Research Center, School of Industrial Engineering, Iran University of Science and Technology (IUST), Narmak,16846-13114, Tehran, Iran
F. Berto: �Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), Trondheim 16846-13114, Norway

Surface Review and Letters (SRL), 2023, vol. 30, issue 06, 1-15

Abstract: In this paper, A356/B4C composites were fabricated using the friction stir processing (FSP) method. The process’s input parameters, including rotational and transverse speed, were optimized using the response surface methodology (RSM). Three factors and three levels with nine experimental runs made up the design of the experiments. An analysis of variance (ANOVA) was employed to determine whether the constructed model was adequate at a 95% confidence level. This study found that transverse speed was the most critical variable affecting the composites’ silicon (Si) particle size, UTS, and force. The findings demonstrate that the Si particle size of the parent material and the dispersion quality of B4C particles in the aluminum matrix are considerably influenced by the FSP factors, such as rotating speed and transverse speed. Second, tests for tensile strength were conducted to examine the composites’ mechanical properties. Then, using a specially designed fixture to measure force during the process, the forces on the tool, which play a decisive role in determining the tool’s life, were measured in different input parameters. The findings demonstrate that FSP transforms the mechanism of the fracture from brittle to extremely ductile in composites from the as-received metal.

Keywords: Friction stir processing; RSM; ANOVA; composite (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0218625X23500415

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