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Magnetic Alloys Design Using Multi-objective Optimization

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Properties and Characterization of Modern Materials

Part of the book series: Advanced Structured Materials ((STRUCTMAT,volume 33))

Abstract

This work presents a computational design of optimal chemical concentrations of chosen alloying elements in creating new magnetic alloys without rare earth elements that have their multiple desired macroscopic properties extremized. The design process is iterative and uses experimental data and a multi-objective evolutionary optimization algorithm combined with a robust response surface generation algorithm. Chemical concentrations of each of the alloying elements in the initial set of candidate alloys were created using a quasi-random sequence generation algorithm. The candidate alloys were then examined for phase equilibria and associated magnetic properties using a thermodynamic database. The most stable candidate alloys were manufactured and tested for macroscopic properties, which were then fitted with response surfaces. The desired magnetic properties were maximized simultaneously by using a multi-objective optimization algorithm. The best predicted Pareto-optimal alloy compositions were manufactured, synthesized and tested thus increasing a set of experimentally verified alloys. This design process converges in a few cycles resulting with alloy chemistries that produce significantly improved desired macroscopic properties, thus proving efficiency of this combined meta-modelling and experimental/computational alloy design method.

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Acknowledgements

Authors would like to express their gratitude to Prof. Carlo Poloni, founder and president of ESTECO, for providing modeFRONTIER software free of charge for this project. They would also like to express their gratitude to Prof. Igor N. Egorov, founder and president of IOSO Technologies, for providing IOSO software free of charge and for performing some of the preliminary calculations. This work was funded by the US Air Force Office of Scientific Research under grant FA9550-12-1-0440 monitored by Dr. Ali Sayir. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the US Air Force Office of Scientific Research or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for government purposes notwithstanding any copyright notation thereon.

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Authors and Affiliations

  1. Department of Mechanical and Materials Engineering, Florida International University, Miami, FL, 33174, USA

    R. Jha & G. S. Dulikravich

  2. Department of Mechanical Engineering, Federal University of Rio de Janeiro, UFRJ/COPPE, Rio de Janeiro, Brazil

    M. J. Colaço

  3. Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC, USA

    M. Fan, J. Schwartz & C. C. Koch

  4. MAIDROC Laboratory, Florida International University, 10555 West Flagler Street, EC 3462, Miami, FL, 33174, USA

    G. S. Dulikravich

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  1. R. Jha
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  2. G. S. Dulikravich
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  3. M. J. Colaço
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  4. M. Fan
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  5. J. Schwartz
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  6. C. C. Koch
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Corresponding author

Correspondence to G. S. Dulikravich .

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Editors and Affiliations

  1. Griffith University , Southport Queensland, Queensland, Australia

    Andreas Öchsner

  2. IFME, Otto-von-Guericke-University, Magdeburg, Sachsen-Anhalt, Germany

    Holm Altenbach

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Jha, R., Dulikravich, G.S., Colaço, M.J., Fan, M., Schwartz, J., Koch, C.C. (2017). Magnetic Alloys Design Using Multi-objective Optimization. In: Öchsner, A., Altenbach, H. (eds) Properties and Characterization of Modern Materials . Advanced Structured Materials, vol 33. Springer, Singapore. https://doi.org/10.1007/978-981-10-1602-8_22

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  • DOI: https://doi.org/10.1007/978-981-10-1602-8_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1601-1

  • Online ISBN: 978-981-10-1602-8

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