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Efficient Use of Multiple Information Sources in Material Design

25 Pages Posted: 20 Jun 2019 Publication Status: Accepted

See all articles by Seyede Fatemeh Ghoreishi

Seyede Fatemeh Ghoreishi

Texas A&M University - Department of Mechanical Engineering

Abhilash Molkeri

Texas A&M University - Department of Materials Science and Engineering

Raymundo Arroyave

Texas A&M University - Department of Materials Science and Engineering; Texas A&M University - Center for intelligent Multifunctional Materials and Structures; Texas A&M University - Department of Mechanical Engineering

Douglas Allaire

Texas A&M University - Department of Mechanical Engineering

Ankit Srivastava

Texas A&M University - Department of Materials Science and Engineering

Abstract

We present a general framework for the design/optimization of materials that is capable of accounting for multiple information sources available to the materials designer. We demonstrate the framework through the microstructure-based design of multi-phase microstructures. Specifically, we seek to maximize the strength normalized strain-hardening rate of a dual-phase ferritic/martensitic steel through a multi-information source Bayesian optimal design strategy. We assume that we have multiple sources of information with varying degrees of fidelity as well as cost. The available information from all sources is fused through a reification approach and then a sequential experimental design is carried out. The experimental design seeks not only to identify the most promising region in the materials design space relative to the objective at hand, but also to identify the source of information that should be used to query this point in the decision space. The selection criterion for the source used accounts for the discrepancy between the source and the 'ground truth' as well as its cost. It is shown that when there is a hard constraint on the budget available to carry out the optimization, accounting for the cost of querying individual sources is essential.

Keywords: Multiphase, Microstructure hull/Microstructure design, Modeling, Mechanical properties, Bayesian Optimization

Suggested Citation

Ghoreishi, Seyede Fatemeh and Molkeri, Abhilash and Arroyave, Raymundo and Allaire, Douglas and Srivastava, Ankit, Efficient Use of Multiple Information Sources in Material Design (June 20, 2019). Available at SSRN: https://ssrn.com/abstract=3406949 or http://dx.doi.org/10.2139/ssrn.3406949

Seyede Fatemeh Ghoreishi

Texas A&M University - Department of Mechanical Engineering

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Abhilash Molkeri

Texas A&M University - Department of Materials Science and Engineering

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Raymundo Arroyave

Texas A&M University - Department of Materials Science and Engineering

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Texas A&M University - Center for intelligent Multifunctional Materials and Structures

7607 Eastmark Dr
College Station, TX 77840
United States

Texas A&M University - Department of Mechanical Engineering

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Douglas Allaire

Texas A&M University - Department of Mechanical Engineering

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

Ankit Srivastava (Contact Author)

Texas A&M University - Department of Materials Science and Engineering ( email )

Langford Building A
798 Ross St.
College Station, TX 77843-3137
United States

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