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Computational Mechanics
Published in: Computational Mechanics 5/2018

12-01-2018 | Original Paper

Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing

Authors: Wentao Yan, Stephen Lin, Orion L. Kafka, Yanping Lian, Cheng Yu, Zeliang Liu, Jinhui Yan, Sarah Wolff, Hao Wu, Ebot Ndip-Agbor, Mojtaba Mozaffar, Kornel Ehmann, Jian Cao, Gregory J. Wagner, Wing Kam Liu

Published in: Computational Mechanics | Issue 5/2018

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Abstract

Additive manufacturing (AM) possesses appealing potential for manipulating material compositions, structures and properties in end-use products with arbitrary shapes without the need for specialized tooling. Since the physical process is difficult to experimentally measure, numerical modeling is a powerful tool to understand the underlying physical mechanisms. This paper presents our latest work in this regard based on comprehensive material modeling of process–structure–property relationships for AM materials. The numerous influencing factors that emerge from the AM process motivate the need for novel rapid design and optimization approaches. For this, we propose data-mining as an effective solution. Such methods—used in the process–structure, structure–properties and the design phase that connects them—would allow for a design loop for AM processing and materials. We hope this article will provide a road map to enable AM fundamental understanding for the monitoring and advanced diagnostics of AM processing.
previous article Special issue on Additive manufacturing: progress in modeling and simulation with experimental validations in additive manufacturing
next article A parallelized three-dimensional cellular automaton model for grain growth during additive manufacturing

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Metadata
Title
Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing
Authors
Wentao Yan
Stephen Lin
Orion L. Kafka
Yanping Lian
Cheng Yu
Zeliang Liu
Jinhui Yan
Sarah Wolff
Hao Wu
Ebot Ndip-Agbor
Mojtaba Mozaffar
Kornel Ehmann
Jian Cao
Gregory J. Wagner
Wing Kam Liu
Publication date
12-01-2018
Publisher
Springer Berlin Heidelberg
Published in
Computational Mechanics / Issue 5/2018
Print ISSN: 0178-7675
Electronic ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-018-1539-z

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