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Application of Back Propagation Algorithm in Optimization of Weave Friction Stir Welding—A Study

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Futuristic Trends in Intelligent Manufacturing

Part of the book series: Materials Forming, Machining and Tribology ((MFMT))

Abstract

Modern engineering applications require the amalgamation of unlike materials for achieving specific thermal, electrical, and physical properties. Aluminium alloys are quite often employ fusion or solid-state processes to join with copper. However, fusion welding of dissimilar materials results in defects such as porosity and the formation of brittle particles. Friction Stir Welding (FSW) is energy efficient, environment friendly process used for joining dissimilar metals. Hence, an attempt is made to join aluminium alloy (AA6061-T6) and pure copper. In this article, the effect of tool pin offset, eccentric weave tool path, and the addition of graphene nano-platelets was studied and compared with the conventional FSW. The effect of pin offset compared to the conventional pin position helped in obtaining a good weld strength due to the large volume of material transportation of base materials and better stirring effect. The novel eccentric weave motion of the tool was useful for obtaining enhanced joint property due to higher holding time, adequate heat input, and uniform mixing during the joining process. A back propagation network (BPN) was utilized in arriving at the optimal process parameters.

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Authors and Affiliations

  1. Department of Mechanical Engineering, RMK College of Engineering and Technology, Chennai, 601206, India

    M. Balasubramanian & C. Hemadri

  2. Department of Mechanical Engineering, Sriram Engineering College, Chennai, 602024, India

    D. Jayabalakrishnan

  3. Department of Computer Science and Engineering, Loyola ICAM College of Engineering, Chennai, 600034, India

    B. Ashwin

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  1. M. Balasubramanian
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  2. D. Jayabalakrishnan
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  3. C. Hemadri
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  4. B. Ashwin
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Correspondence to M. Balasubramanian .

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Editors and Affiliations

  1. Department of Mechanical Engineering, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India

    K. Palanikumar

  2. Department of Mechanical and Mechatronic Engineering, UCSI University, Kuala Lumpur, Malaysia

    Elango Natarajan

  3. Mechanical Engineering Department, Presidency University, Bengaluru, Karnataka, India

    Ramesh Sengottuvelu

  4. Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

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Balasubramanian, M., Jayabalakrishnan, D., Hemadri, C., Ashwin, B. (2021). Application of Back Propagation Algorithm in Optimization of Weave Friction Stir Welding—A Study. In: Palanikumar, K., Natarajan, E., Sengottuvelu, R., Davim, J.P. (eds) Futuristic Trends in Intelligent Manufacturing. Materials Forming, Machining and Tribology. Springer, Cham. https://doi.org/10.1007/978-3-030-70009-6_7

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