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Simplified Characterization of Anisotropic Yield Criteria for an Injection-Molded Polymer Material
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0002-9421-1372
Tetra Pak, Sweden.
Tetra Pak, Sweden.
Blekinge Institute of Technology. student.
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2023 (English)In: Polymers, E-ISSN 2073-4360, Vol. 15, no 23, article id 4520Article in journal (Refereed) Published
Abstract [en]

Injection-molded polyethylene plates exhibit highly anisotropic mechanical behavior due to, e.g., the uneven orientation of the polymer chains during the molding process and the differential cooling, especially in the thickness direction. Elastoplastic finite element modeling of these plates in particular is used with isotropic yield criteria like von Mises, trading off accuracy in favor of simpler constitutive characterization and faster solution. This article studies three different anisotropic yield criteria, namely, Hill 1948, Barlat Yld91, and Barlat Yld2004-18P, for the finite element modeling of low-density polyethylene (LDPE) at large uniaxial tensile deformation and compares the accuracy and computation time with von Mises. A simplified calibration technique is investigated to identify the constitutive parameters of the studied Barlat group yield criteria. The calibration process is simplified in the sense that only uniaxial tensile tests with digital image correlation measurements are used for the calibration of all the yield criteria studied in this article, although a standard calibration procedure for the Barlat group yield criteria requires additional material testing using more demanding test setups. It is concluded that both Barlat Yld91 and Barlat Yld2004-18P yield criteria can be calibrated with only a few tensile tests and still capture anisotropy in deformation–stress–strain at different levels of accuracy. © 2023 by the authors.

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 15, no 23, article id 4520
Keywords [en]
anisotropic yield criteria, finite element model, injection molding, polyethylene, Anisotropy, Calibration, Finite element method, Image correlation, Tensile testing, Anisotropic yields, Element models, Finite element modelling (FEM), Injection moulded, Mechanical behavior, Molded polymers, Polymer materials, Von Mises, Yield criterion, Polyethylenes
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:bth-25820DOI: 10.3390/polym15234520ISI: 001116663400001Scopus ID: 2-s2.0-85179124252OAI: oai:DiVA.org:bth-25820DiVA, id: diva2:1823151
Part of project
PREDICT- Failure prediction for complex load cases, Knowledge Foundation, VinnovaModel Driven Development and Decision Support – MD3S, Knowledge Foundation
Funder
Vinnova, 20200125Knowledge Foundation, 20180159Available from: 2023-12-30 Created: 2023-12-30 Last updated: 2024-08-12Bibliographically approved

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Shahid, SharlinKao-Walter, Sharon

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