TY - JOUR
T1 - Material models and finite analysis of additively printed polymer composites
AU - Ryu, Jong Eun
AU - Salcedo, Eduardo
AU - Lee, Hyeok Jong
AU - Jang, Sung Jun
AU - Jang, Eun Young
AU - Yassi, Hamad Al
AU - Baek, Dongcheon
AU - Choi, Daniel
AU - Lee, Euntaek
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Ryu thanks to the Summer Faculty Fellowship from the US Air Force Office of Scientific Research. We would also like to acknowledge the financial support of the Technology Innovation Takreer Research Center R&D Program in United Arab Emirates under the project entitled as ‘‘Smart Sensors for Catalytic Bed Reactors Refinery’’; Center for Convergence-oriented Pro-Mechatronics in Kumoh National Institute of Technology. This research is a part of the project, ‘‘Small and Medium Enterprise Technology Supporting by Reliability Assessment Technology Improvement,’’ which has been supported by a subsidy from National Research Council of Science & Technology under the R&D Program of Ministry of Science, ICT and Future Planning.
Funding Information:
The authors also would like to thank the contribution of Diane Wagner and Andres Tovar at IUPUI for providing advises on material trialing and specific designing.
Publisher Copyright:
© The Author(s) 2018.
PY - 2019/2/1
Y1 - 2019/2/1
N2 - There are urgent needs to characterize and model the mechanical property of additively manufactured composite materials, known as the digital materials, for the computational design and simulation. In this study, most utilized digital material samples, which are the mixture of base polymers, Tango Black+ and Vero White+, by PolyJet (Stratasys) are chosen. Four polynomial models (Neo Hookean model, and two-, three-, and five-parameter Mooney–Rivlin models) are used to fit mechanical tensile test results up to 30% of strain. The material models were adopted in the finite element analysis simulating the tensile test to validate their accuracy. The simulation results based on the two-parameter Mooney–Rivlin model predict the stress at 30% strain with small errors (8.2, 10.5, 0.9, 5.0, and 8.0 for Tango Black+, DM40, DM50, DM60, and DM70, respectively). Additionally, scanning electron microscopy was utilized to analyze the fracture surface of the base materials (Tango Black+ and Vero White+) and the digital materials.
AB - There are urgent needs to characterize and model the mechanical property of additively manufactured composite materials, known as the digital materials, for the computational design and simulation. In this study, most utilized digital material samples, which are the mixture of base polymers, Tango Black+ and Vero White+, by PolyJet (Stratasys) are chosen. Four polynomial models (Neo Hookean model, and two-, three-, and five-parameter Mooney–Rivlin models) are used to fit mechanical tensile test results up to 30% of strain. The material models were adopted in the finite element analysis simulating the tensile test to validate their accuracy. The simulation results based on the two-parameter Mooney–Rivlin model predict the stress at 30% strain with small errors (8.2, 10.5, 0.9, 5.0, and 8.0 for Tango Black+, DM40, DM50, DM60, and DM70, respectively). Additionally, scanning electron microscopy was utilized to analyze the fracture surface of the base materials (Tango Black+ and Vero White+) and the digital materials.
KW - additive manufacturing
KW - digital materials
KW - finite element analysis
KW - Material characterization
KW - material jetting
KW - PolyJet
UR - https://www.scopus.com/pages/publications/85049891673
U2 - 10.1177/0021998318785672
DO - 10.1177/0021998318785672
M3 - Article
AN - SCOPUS:85049891673
SN - 0021-9983
VL - 53
SP - 361
EP - 371
JO - Journal of Composite Materials
JF - Journal of Composite Materials
IS - 3
ER -
SDG 9 Industry, Innovation, and Infrastructure