Multiscale Data Driven Methodology for Accelerating Qualification and Certification of Additively Manufactured Parts
Abstract
The defects and microstructural features introduced by additive manufacturing (AM) of parts render the material heterogeneous and anisotropic. Consequently, even in a uniaxial coupon test the material experiences a multiaxial state of stress. The traditional building block approach (BBA) for qualification and certification (Q&C) is inadequate to address the heterogeneity and anisotropy in AM parts. To address these issues along with the inherent cost and time needed for Q&C by the BBA, this article presents a multiscale data-driven approach for accelerated Q&C (aQ&C) of AM parts extending the traditional BBA from the macro- to the upper and lower meso- length scales.
Recommended Citation
J. G. Michopoulos and A. P. Iliopoulos and J. C. Steuben and M. Kittur and N. Phan and A. A. Salem and D. P. Satko and S. Karnati and S. P. Isanaka and F. W. Liou, "Multiscale Data Driven Methodology for Accelerating Qualification and Certification of Additively Manufactured Parts," Encyclopedia of Materials: Metals and Alloys, pp. 223 - 244, Elsevier, Sep 2021.
The definitive version is available at https://doi.org/10.1016/B978-0-12-819726-4.00104-6
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Additive manufacturing; Certification; Data-Driven; High throughput Testing; Model-Driven; Multiscale; Multiaxial Testing; Parallel Testing; Qualification
International Standard Book Number (ISBN)
978-012819726-4; 978-012819733-2
Document Type
Book - Chapter
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Elsevier, All rights reserved.
Publication Date
01 Sep 2021
Comments
Office of Naval Research, Grant 68335-19-C-0368