Building digital twins of 3D printing machines

SCRIPTA MATERIALIA

卷:135

Article

DebRoy, T.¹  Zhang, W.²  Turner, J.³  Babu, S. S.⁴ 

[1] Penn State Univ, University Pk, PA 16802 USA

[2] Ohio State Univ, Columbus, OH 43210 USA

[3] Oak Ridge Natl Lab, Oak Ridge, TN USA

[4] Univ Tennessee, Knoxville, TN USA

关键词: Additive manufacturing;    Microstructure and properties;    Heat transfer and material flow;    Solidification and texture;    Residual stresses and distortion;   

DOI  :  10.1016/j.scriptamat.2016.12.005

来源: Elsevier

【 摘 要 】

Geometrical conformity, microstructure and properties of additively manufactured (AM) components are affected by the desired geometry and many process variables within given machines. Building structurally sound parts with good mechanical properties by trial and error is time-consuming and expensive. Today's computationally efficient, high-fidelity models can simulate the most important factors that affect the AM products' properties, and upon validation can serve as components of digital twins of 3D printing machines. Here we provide a perspective of the current status and research needs for the main building blocks of a first generation digital twin of AM from the viewpoints of researchers from several organizations. (C) 2016 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

【 授权许可】

Free