Title: Identification of the LLDPE Constitutive Material Model for Energy Absorption in Impact Applications
Authors: Hynčík, Luděk
Kochová, Petra
Špička, Jan
Bońkowski, Tomasz
Cimrman, Robert
Kaňáková, Sandra
Kottner, Radek
Pašek, Miloslav
Citation: HYNČÍK, L., KOCHOVÁ, P., ŠPIČKA, J., BOŃKOWSKI, T., CIMRMAN, R., KAŇÁKOVÁ, S., KOTTNER, R., PAŠEK, M. Identification of the LLDPE Constitutive Material Model for Energy Absorption in Impact Applications. Polymers, 2021, roč. 13, č. 10. ISSN 2073-4360.
Issue Date: 2021
Publisher: MDPI
Document type: článek
article
URI: 2-s2.0-85106663894
http://hdl.handle.net/11025/45056
ISSN: 2073-4360
Keywords in different language: LLDPE;quasi-static and dynamic experimental tests;impact energy absorption;material parameter identification;constitutive material model;validation;simulation
Abstract in different language: Current industrial trends bring new challenges in energy absorbing systems. Polymer materials as the traditional packaging materials seem to be promising due to their low weight, structure, and production price. Based on the review, the linear low-density polyethylene (LLDPE) material was identified as the most promising material for absorbing impact energy. The current paper addresses the identification of the material parameters and the development of a constitutive material model to be used in future designs by virtual prototyping. The paper deals with the experimental measurement of the stress-strain relations of linear low-density polyethylene under static and dynamic loading. The quasi-static measurement was realized in two perpendicular principal directions and was supplemented by a test measurement in the 45 degrees direction, i.e., exactly between the principal directions. The quasi-static stress-strain curves were analyzed as an initial step for dynamic strain rate-dependent material behavior. The dynamic response was tested in a drop tower using a spherical impactor hitting a flat material multi-layered specimen at two different energy levels. The strain rate-dependent material model was identified by optimizing the static material response obtained in the dynamic experiments. The material model was validated by the virtual reconstruction of the experiments and by comparing the numerical results to the experimental ones.
Rights: © MDPI
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