CHARACTERIZATION OF ELASTOPLASTIC PROPERTIES OF ADDITIVELY MANUFACTURED SPECIMENS FROM INDENTATION DATA USING STOCHASTIC INVERSE MODELING

Ridwan Olabiyi, Jordan Weaver, Ashif Iquebal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Rapid characterization of mechanical properties and material structure of additively manufactured (AM) components via non-destructive techniques (NDT) is crucial for their wider adoption. However, accurate characterization of AM components using NDT remains a challenge. To this end, our work focuses on characterizing the elastoplastic properties of AM components from instrumented indentation measurements, addressing the inverse indentation problem. Previous approaches to this problem have limitations in generalization or in estimating the variability of elastoplastic properties. In this work, we explore a stochastic inverse problem (SIP) formulation, estimating a distribution over elastoplastic properties (Young’s modulus, yield strength, and strain hardening exponent) that aligns with observed indentation data. Implementing this methodology for AM components subjected to different heat treatments, we achieve predictions of the strain hardening exponent (n), Young’s modulus (E), and yield strength (σy) to within 1.1%, 1%, and 5% of the actual values, respectively. The recovered distributions closely match those from standard tensile tests, indicating our methodology’s accuracy in characterizing mean elastoplastic properties and their variability through high throughput indentation measurements.

Original languageEnglish (US)
Title of host publicationAdditive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791888100
DOIs
StatePublished - 2024
EventASME 2024 19th International Manufacturing Science and Engineering Conference, MSEC 2024 - Knoxville, United States
Duration: Jun 17 2024Jun 21 2024

Publication series

NameProceedings of ASME 2024 19th International Manufacturing Science and Engineering Conference, MSEC 2024
Volume1

Conference

ConferenceASME 2024 19th International Manufacturing Science and Engineering Conference, MSEC 2024
Country/TerritoryUnited States
CityKnoxville
Period6/17/246/21/24

Keywords

  • Additive manufacturing
  • Inverse problem
  • Non-destructive testing
  • Rapid characterization

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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