MEASURING THERMALLY-INDUCED DISTORTION OF LARGE-SCALE COMPOSITE PRINTED STRUCTURES USING DIGITAL IMAGE CORRELATION

Tyler M. Corum, Johnna C. O’Connell, Ahmed A. Hassen, Chad E. Duty

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Additive manufacturing (AM) gives designers the ability to create complex part geometries without several of the limitations of traditional manufacturing. Large-Scale AM (LSAM) allows the creation of large composite structures and is a popular area of composite tooling research. Fiber-reinforced polymers are common feedstock for LSAM tooling but introduce anisotropic thermomechanical properties that can lead to the warpage of tools at autoclave conditions. Digital image correlation (DIC) has been used to measure the coefficient of thermal expansion (CTE) of LSAM parts using a novel DIC Oven design. This method was utilized to measure the CTE of LSAM structures printed using different fiber-reinforced materials and multiple geometries. Specifically, glass fiber ABS (GF-ABS) and carbon fiber ABS (CF-ABS) samples were compared as well as cube and plate geometries for each material. The temperature profile over time was also evaluated to determine how rapidly the strain of the sample increased as temperature of the DIC Oven was increased. A thermal model was developed to predict temperature profiles for various samples and identify when the samples had reached thermal equilibrium.

Original languageEnglish
Title of host publicationSAMPE 2023 Conference and Exhibition
PublisherSoc. for the Advancement of Material and Process Engineering
ISBN (Electronic)9781934551431
DOIs
StatePublished - 2023
EventSAMPE 2023 Conference and Exhibition - Seattle, United States
Duration: Apr 17 2023Apr 20 2023

Publication series

NameInternational SAMPE Technical Conference
Volume2023-April

Conference

ConferenceSAMPE 2023 Conference and Exhibition
Country/TerritoryUnited States
CitySeattle
Period04/17/2304/20/23

Funding

This research was funded by the Southeastern Advanced Machine Tools Network (SEAMTN) at the University of Tennessee, Knoxville and sponsored by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office, under contract DE-AC05-00OR22725 with UT-Battelle, LLC. * This manuscript has been authored in part by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/ downloads/doe-public-access-plan).

FundersFunder number
U.S. Department of Energy
Advanced Manufacturing OfficeDE-AC05-00OR22725
Office of Energy Efficiency and Renewable Energy
University of Tennessee

    Keywords

    • Composites
    • Large-Scale Additive Manufacturing
    • Thermal Anisotropy
    • Tooling

    Fingerprint

    Dive into the research topics of 'MEASURING THERMALLY-INDUCED DISTORTION OF LARGE-SCALE COMPOSITE PRINTED STRUCTURES USING DIGITAL IMAGE CORRELATION'. Together they form a unique fingerprint.

    Cite this