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Structural Materials Data Demonstration Project: Resource for Thermal Process Modeling

Published

Author(s)

Carelyn E. Campbell, Ursula R. Kattner, Alden A. Dima, Scott Henry, Larry A. Berardinis, Tom Searles, Laura M. Bartolo

Abstract

Integrated Computational Materials Engineering (ICME)requires the availability of supporting data for modeling across multiple length scales. It also requires robust data schema and input-output protocols. To address these needs, a team working under a grant from the National Institute of Standards and Technology (NIST) has launched the Structural Materials Data Demonstration Project, a collaborative effort led by ASM International to establish best practices for materials database development and application. In its initial phase, the project is focusing on the heat treatable aluminum 6061 alloy and ternary subsystem of Al-Mg-Si, incorporating experimental diffusion, phase equilibria, microstructural, and mechanical property data. This paper outlines the purpose and scope of the project and discusses challenges in materials data management and organization. It also describes a test problem in which demonstration data can be used to model the effects of composition and heat treatment on various properties of aluminum 6061-T6.
Conference Dates
June 16-18, 2014
Conference Location
Orlando, FL
Conference Title
5th International Conference on Thermal Process Modeling and Computer Simulation

Keywords

Materials data, data repository, data schema, Al-6061

Citation

Campbell, C. , Kattner, U. , Dima, A. , Henry, S. , Berardinis, L. , Searles, T. and Bartolo, L. (2014), Structural Materials Data Demonstration Project: Resource for Thermal Process Modeling, 5th International Conference on Thermal Process Modeling and Computer Simulation, Orlando, FL, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915786 (Accessed October 3, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created July 1, 2014, Updated February 19, 2017