Title

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.

Department(s)

Mechanical and Aerospace Engineering

Comments

Office of Naval Research, Grant 68335-19-C-0368

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

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