Optimization of friction stir welding process parameters on AA 6063-SiC-B4C hybrid metal matrix composites by genetic algorithm

R. Srinivasan; B. Suresh Babu; P. Prathap; Ruban Whenish; R. Soundararajan; G. Chandramohan

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자료유형: 학술저널

저자정보: R. Srinivasan (Sri Krishna College of Technology) B. Suresh Babu (Sri Krishna College of Technology) P. Prathap (Sri Krishna College of Technology) Ruban Whenish (Manna chemicals and Drugs Private Limited) R. Soundararajan (Sri Krishna College of Engineering and Technology) G. Chandramohan (P.S.G Institute of Technology and Applied Research)

저널정보: 한양대학교 세라믹공정연구센터 Journal of Ceramic Processing Research Journal of Ceramic Processing Research 제22권 제1호

발행연도: 2021.1

수록면: 16 - 24 (9page)

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연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

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Friction Stir Welding (FSW) is a metal joining process has its own benefits over fusion welding processes. FSW AluminiumMetal Matrix Composites (AMMC) replaced conventional metals for structural applications in aerospace, automobile andmarine sectors. In this present investigation, process parameters of FSW for joining AA 6063-SiC-B4C hybrid MMCs wereoptimized in order to achieve maximum tensile strength. Initially, AMMC was manufactured through stir casting with thematrix AA 6063 and reinforcements SiC and B4C. The hybrid MMC work pieces were subjected to FSW process by varyingthe process parameters such as tool rotation speed, welding speed and axial force using Taguchi L27 orthogonal array. Tensilestrength of hybrid composite was examined and regression analysis were done using MINITAB V17 software. GeneticAlgorithm technique was used to optimize the tensile strength with FSW parametric combinations. The optimum parametersfor FSW of AA6063-SiC-B4C hybrid composites were Tool rotational speed (TRS) ? 1050 rpm; Axial Force (AF) ? 10 kN andWeld Speed (WS) ? 45 mm/min obtained. The optimal parameters were applied to experimental study and the results werevalidated.

#Hybrid metal matrix composite #Stir Casting #FSW #Genetic algorithm #Tensile strength

참고문헌 (27)

참고문헌 신청

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