(BRI) Direct and Inverse Design Optimization of Magnetic Alloys with Minimized Use of Rare Earth Elements

Abstract

This project deals with the industry-wide need for developing a new generation of high strength magnetic materials with minimal use of rare earth elements. We studied an extended AlNiCo family of magnetic alloys with 8alloying elements and no rare earths. Existing theoretical formulations and accompanying software can predict only certain physical properties of such materials and they are currently limited to at most three alloying elements. We used advanced semi-stochastic algorithms for constrained multi-objective optimization in combination with experimental testing and verification of candidate alloys. These optimization algorithms allow for concentrations of a large number of alloying elements to be optimized so that several physical properties of the alloy are simultaneously extremized in a Pareto sense. This approach was successful in evolving chemical concentrations of an initial set of candidate alloys with negligible magnetic properties into concentrations of alloys with properties comparable to commercially available AlNiCo alloys. Pattern recognition statistical algorithms were also used to elucidate relationships among different alloying elements and each of the desired magnetic properties of the alloys. Sensitivity analysis of the variation of concentrations of each of the alloying elements revealed that some of the alloying elements have practically negligible influence on the magnetic properties of the AlNiCo type alloys. Research is recommended on determining which of the alloying elements could be replaced with small amounts of rare earth elements and optimizing thermal treatment protocols for higher magnetic performance of such alloys.

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Document Details

Document Type
Technical Report
Publication Date
Feb 02, 2016
Accession Number
AD1004760

Entities

People

  • Carl C. Koch
  • George S. Dulikravich
  • Justin Schwartz

Organizations

  • Florida International University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Chemistry
  • Computational Science
  • Data Mining
  • Electron Microscopy
  • Integrated Computational Materials Engineering
  • Magnetic Alloys
  • Magnetic Fields
  • Magnetic Materials
  • Magnetic Properties
  • Materials
  • Materials Engineering
  • Materials Science
  • Multiobjective Optimization
  • Pattern Recognition
  • Physical Properties
  • Rare Earth Elements

Fields of Study

  • Materials science

Readers

  • Distributed Systems and Data Platform Development
  • Materials Science and Engineering.
  • Powder metallurgy of Titanium alloys.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms