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Advances in 3D Printing & Additive Manufacturing Technologies pp 79–93Cite as

Multi-objective Optimization of Mechanical Properties of Aluminium 7075-Based Hybrid Metal Matrix Composite Using Genetic Algorithm

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Abstract

The present paper involves experimental study and multi-objective optimization of mechanical properties of Aluminium 7075-based hybrid metal matrix composite fabricated by stir-casting process. The composite is reinforced with Silicon carbide (SiC) and Titanium dioxide (TiO2) particulates. The mechanical properties that were considered in this work are impact strength, hardness and tensile strength. These properties of 7075 Al hybrid metal matrix composite are studied by performing Charpy impact test, Rockwell hardness test and tensile test, respectively. The experiments are conducted on specimens prepared by mixing the particulates in different percentage combinations such as (0, 10), (2.5, 7.5), (5, 5), (7.5, 2.5) and (10, 0) of SiC and TiO2, respectively by maintaining the percentage of 7075 Al constant at 90 %. Based on the experimental values, second-order regression equations are fitted between each of the response parameters and the casting parameters (fraction of SiC and fraction of TiO2) using Minitab 17 software. The equations are then optimized by defining them as the objectives of a multi-objective optimization problem (MOOP). A non-dominated sorting genetic algorithm (NSGA-II) is used to solve the MOOP . A single best compromise solution is also found from the Pareto optimal solutions obtained by NSGA II.

Keywords

  • Multi-objective
  • Optimization
  • Hybrid
  • MMC
  • NSGA

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  • DOI: 10.1007/978-981-10-0812-2_7
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Authors and Affiliations

  1. Mechanical Engineering Department, SRKR Engineering College, Bhimavaram, 534204, Andhra Pradesh, India

    V. Durga Prasada Rao, V. Navya Geethika & P. S. Krishnaveni

Authors
  1. V. Durga Prasada Rao
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  2. V. Navya Geethika
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  3. P. S. Krishnaveni
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Corresponding author

Correspondence to V. Durga Prasada Rao .

Editor information

Editors and Affiliations

  1. The Manufacturing Technology Centre, Chief Technologist – Component Technology, Coventry, Warwickshire, United Kingdom

    David Ian Wimpenny

  2. Department of Mechanical Engineering, Indian Institute of Technology Delhi , New Delhi, Delhi, India

    Pulak M. Pandey

  3. Additive Manufacturing Society of India , Bangalore, Karnataka, India

    L. Jyothish Kumar

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Durga Prasada Rao, V., Navya Geethika, V., Krishnaveni, P.S. (2017). Multi-objective Optimization of Mechanical Properties of Aluminium 7075-Based Hybrid Metal Matrix Composite Using Genetic Algorithm. In: Wimpenny, D., Pandey, P., Kumar, L. (eds) Advances in 3D Printing & Additive Manufacturing Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-10-0812-2_7

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  • DOI: https://doi.org/10.1007/978-981-10-0812-2_7

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