Characterization of Anisotropic Mechanical Properties of Polymer Composites Manufactured by a Hybrid Additive Manufacturing-Compression Molding Process using X-ray Computer Tomography

Deepak Kumar Pokkalla, Vipin Kumar, Eonyeon Jo, Ahmed Arabi Hassen, Ercan Cakmak, Shailesh P. Alwekar, Vlastimil Kunc, Uday Vaidya, Harsh K. Baid, Seokpum Kim

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

5 Scopus citations

Abstract

In this study, anisotropic stiffness tensors were reconstructed based on fiber orientation distributions obtained from X-ray computer tomography (xCT). A preform was manufactured via a big area additive manufacturing (BAAM) system with carbon fiber (CF) filled acrylonitrile butadiene styrene (ABS). The tailored preform from additive manufacturing (AM) was used in the compression molding (CM) process to produce a low-void high-performance thermoplastic composite panel. An xCT technique was employed to detect the fiber orientations in CF/ABS composites manufactured via three different methods: AM from BAAM, extrusion compression molding (ECM), and AM-CM. The anisotropic stiffness tensor was obtained from the composite panel manufactured via the three manufacturing methods (AM, ECM, and AM-CM). A micromechanics theory was used to obtain the orthotropic stiffness tensors of the composite panels and compared with the experimental values. The predicted stiffness tensors of AM and AM-CM composite panels were used to study the deformation characteristics of a steering wheel during airbag deployment by performing finite element analysis (FEA). The approach developed in this study can be utilized for evaluating high-performance composites.

Original languageEnglish
Title of host publicationNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI
EditorsH. Felix Wu, Andrew L. Gyekenyesi, Peter J. Shull, Tzuyang Yu
PublisherSPIE
ISBN (Electronic)9781510649699
DOIs
StatePublished - 2022
EventNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI 2022 - Virtual, Online
Duration: Apr 4 2022Apr 10 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12047
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI 2022
CityVirtual, Online
Period04/4/2204/10/22

Funding

This research was supported by the DOE Office of Energy Efficiency and Renewable Energy (EERE), Advanced Manufacturing Office and used resources at the Manufacturing Demonstration Facility (MDF), a DOE-EERE User Facility at Oak Ridge National Laboratory. MCQ-Chopped software to characterize chopped fiber reinforced composite material properties was provided by AlphaSTAR Corporation. For large format additive manufacturing, the printing equipment was provided by Cincinnati Incorporated, a manufacturer of metal and additive manufacturing equipment, headquartered in Harrison, Ohio (www.e-ci.com). The printing material was provided by Techmar PM, a material design and manufacturing company headquartered in Clinton, TN. CT scan was performed at Zeiss facility at MDF. Authors thanks Dr. Pradeep Bhattad and Curtis Frederick for performing the CT scans. * This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The published acknowledges the US government license to provide public access under the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan)

FundersFunder number
DOE-EERE
U.S. Department of Energy
Advanced Manufacturing Office
Office of Energy Efficiency and Renewable Energy
Oak Ridge National Laboratory

    Keywords

    • Additive Manufacturing
    • Extrusion Compression Molding
    • Fiber orientation distribution
    • Mechanical properties
    • Orientation tensor
    • Polymer composites
    • Porosity
    • Stiffness tensor

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