Thermoplastic Library

The thermoplastic library includes the following material models.  Each of these models provides unique and powerful predictions for different classes of thermoplastics.  Each material model is available for both implicit and explicit finite element simulations, and is suitable for large deformation analyses.

Material Model Name Description
Linear Elastic Model
Linear Elastic (LE)
Linear elastic model that also incorporates the PolyUMod failure models.
Neo-Hookean Model
Neo-Hookean (NH)
Neo-Hookean hyperelastic model that supports the PolyUMod failure models.
Eight-Chain Model
Eight-Chain (EC)
Arruda-Boyce eight-chain hyperelastic model that supports the PolyUMod failure models [J. Mech. Phys. Solids, 41, 389-412, 1993].  Uses a more accurate implementation of the inverse Langevin function than most other commercial implementations.
Anisotropic_Eight-Chain Model
Anisotropic Eight-Chain (AEC)
Anisotropic version of the eight-chain model [Bischoff et al, Trans. ASME, 69, 570-579, 2002]. 
  • Supports different failure models
Arruda-Boyce Model
Arruda-Boyce (AB)
Arruda-Boyce viscoplastic model for thermoplastic materials [Mech. Mater., 19, 193-212, 1995].
  • Supports different failure models
Dual Network Fluoropolymer Model
Dual Network Fluoropolymer (DNF)
Specifically developed for fluoropolymers, (e.g. Teflon), but is suitable for many thermoplastics [Mech. Materials, 37, 899-913, 2005].
  • Strain-rate effects
  • Temperature effects
  • Both viscoelastic and viscoplastic behavior
  • Supports different failure models
Hybrid Model
Hybrid Model (HM)
Specifically developed for ultra-high molecular weight polyethylene (UHMWPE), but is suitable for many thermoplastics [Biomaterials, 24, 1365-1380, 2003].
Three-Network Model
Three-Network (TNM)
The TNM is an alternative to the Hybrid model that gives similar quality predictions but also includes temperature effects and is more numerically efficient [SES, 45th Annual Meeting, 2008].
  • Large deformation behavior
  • Strain-rate effects
  • Temperature effects
  • Supports different failure models
Parallel_Network Model
Parallel Network (PNM)
Advanced model that contains an arbitrary number of elastic and flow elements connected in parallel.
  • Suitable for large deformation, thermomechanical predictions of many different classes of polymers
  • Supports different failure models

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