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Mechanical Properties and Behaviors of Polymer Materials

A Special Issue of Polymers (ISSN 2073-4360) belonging to the section "Polymer Analysis and Characterization".

Deadline for manuscript submissions: 21 December 2026 | Viewed by 728

Editor


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Guest Editor
College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Interests: polymer processing and forming; polymer composite materials; thermo-rheological mechanics; polymer processing equipment; mechanical virtual design; extrusion technology; advanced manufacturing technologies

Special Issue Information

Dear Colleagues,

This Special Issue, entitled Mechanical Properties and Behaviors of Polymer Materials, will be focused on recent advances in the mechanical response and deformation mechanisms of polymer materials under different loading and environmental conditions. Particular attention will be devoted to the relationship between microstructure evolution and macroscopic mechanical behavior in semicrystalline polymers, polymer blends, and polymer composites.

Topics of interest include yielding and strain localization behavior, deformation-induced structural evolution, thermo-mechanical coupling, viscoelastic and viscoplastic behavior, fatigue and creep performance, constitutive modeling, and advanced experimental characterization techniques. Studies involving crystallization behavior, phase structure regulation, and processing-induced mechanical properties are also encouraged.

This Special Issue aims to provide a platform for researchers to present innovative experimental, theoretical, and simulation studies that improve the understanding of polymer deformation and failure mechanisms, thereby promoting the design and development of high-performance polymer materials with enhanced mechanical reliability.

Prof. Dr. Kejian Wang
Guest Editor

Manuscript Submission Information

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Keywords

  • polymer mechanics
  • semicrystalline polymers
  • deformation mechanisms
  • yield behavior
  • thermo-mechanical coupling
  • viscoelasticity and viscoplasticity
  • structure–property relationship
  • constitutive modeling
  • polymer composites
  • mechanical characterization

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Published Papers (1 paper)

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Research

25 pages, 2692 KB  
Article
Nonlinear Hyper-Viscoelastic Constitutive Modeling and PRF Parameter Identification of Rubber Materials
by Mingkuan Wang, Jiaheng Yao, Long Zhang, Ang Gao, Enchao Zhang, Shimin Zhang and Xiaoxiao Zhu
Polymers 2026, 18(14), 1687; https://doi.org/10.3390/polym18141687 - 8 Jul 2026
Viewed by 507
Abstract
To accurately characterize the nonlinear hyper-viscoelastic mechanical behavior of rubber materials under large deformation and stress relaxation conditions, this study investigates fluororubber (FKM) and hydrogenated nitrile rubber (HNBR) with different hardness levels through uniaxial mechanical tests and stress relaxation experiments. A constitutive parameter [...] Read more.
To accurately characterize the nonlinear hyper-viscoelastic mechanical behavior of rubber materials under large deformation and stress relaxation conditions, this study investigates fluororubber (FKM) and hydrogenated nitrile rubber (HNBR) with different hardness levels through uniaxial mechanical tests and stress relaxation experiments. A constitutive parameter identification method based on hyperelastic models and the parallel rheological framework (PRF) model is established. First, several representative hyperelastic models, including the Neo-Hookean, Mooney–Rivlin, Yeoh, Ogden, Arruda–Boyce, and Van der Waals models, are comparatively evaluated. The results show that the Ogden model with (N = 3) provides the highest fitting accuracy for the large-deformation responses of FKM and HNBR with different hardness levels, with coefficients of determination (R2) ranging from 0.9879 to 0.9948. Subsequently, the Prony series parameters are identified from the stress relaxation data and converted into the initial parameters of the linear PRF model. To overcome the limitations of the linear PRF model in predicting nonlinear relaxation behavior, the PRF parameters are further optimized using the Isight data matching method combined with the Hooke–Jeeves algorithm. Finite element validation demonstrates that the optimized nonlinear PRF model can accurately predict the stress relaxation behavior of both FKM and HNBR. The mean absolute percentage errors of FKM60, FKM70, and FKM80 are 2.67%, 1.57%, and 2.56%, respectively, while those of HNBR60, HNBR70, and HNBR80 are 2.16%, 2.72%, and 2.58%, respectively. These results indicate that the combination of the Ogden (N = 3) hyperelastic model and the optimized nonlinear PRF model can effectively describe the large-deformation and time-dependent viscoelastic responses of rubber materials, providing a reliable constitutive modeling basis for finite element analysis and parameter calibration of rubber sealing structures. Full article
(This article belongs to the Special Issue Mechanical Properties and Behaviors of Polymer Materials)
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