Skip to Main Content

PolyUMod
Advanced Modeling Software

The PolyUMod library is a library of advanced (and accurate) user-material models for finite element modeling of polymers, biomaterials, and other non-linear materials.

PolyUMod Overview

The PolyUMod® family of material models has advanced user-material models for finite element modeling of polymers, biomaterials, and other non-linear materials. It also includes specific models for particular formulations, such as fluoropolymers and UHMWPE.

  • Check icon outline
    Diverse Material Models
  • Check icon outline
    Strain-Rate Dependent Models
  • Check icon outline
    Pre-Calibrated Database
  • Check icon outline
    Compatibility with FE Solvers
Internet.

Quick Specs

PolyUMod's models are valuable for accurately predicting the behavior of polymers under various conditions, such as different temperatures, strain rates, and stress states. This capability is essential for designing and optimizing products that require precise material performance predictions.

  • Simulate Thermoplastics, Thermosets, and Elastomers
  • Model Behavior of Plastics and Rubbers
  • Analyze Biomaterials for Medical Devices
  • Evaluate High-performance Aircraft Materials
  • Study Properties Used in Electronic Components

POLYUMOD CAPABILITIES

Advanced Material Modeling Solutions

Discover the power of PolyUMod, the premier material model library enhancing your simulations with unmatched accuracy and versatility. Developed by polymer mechanics experts, PolyUMod offers advanced material models for predicting complex polymer behavior under various conditions. Whether dealing with hyperelasticity, viscoelasticity, or other challenging responses, PolyUMod seamlessly integrates with leading finite element analysis (FEA) software. Gain the precise tools needed for innovation and reliable results in your engineering projects.

Ansys

 

Key Features

Discover the power of PolyUMod, the premier material model library that enhances your simulations with unmatched accuracy and versatility. Developed by polymer mechanics experts, PolyUMod offers advanced material models for predicting complex polymer behavior under various conditions. PolyUMod seamlessly integrates with leading finite element analysis (FEA) software, whether dealing with hyperelasticity, viscoelasticity, or other challenging responses. Gain the precise tools needed for innovation and reliable results in your engineering projects.

This material model predicts the non-linear viscoelastic response of elastomer-like materials. 

The Bergstrom-Boyce model with enhanced Ogden-Roxburgh Mullins effect (BBM) is a variant of the BB model. The key difference is that the eight-chain hyperelastic Network A includes a Mullins damage term, enhancing its predictive capabilities.

The anisotropic BB model with Mullins damage is an extension of the original BB model in which the hyper elastic response is captured using the anisotropic eight-chain model.

The Hybrid model (HM) predicts the large deformation, time-dependent response of UHMWPE. The HM is typically less advanced than the Three Network (TN) model, which is also entirely accurate for UHMWPE and other thermoplastics.

The Dual Network Fluoropolymer (DNF) model predicts Fluoropolymers' large-strain, viscoplastic response. The model is based on three parallel networks and supports volumetric flow.

The Three Network (TN) model predicts generic thermoplastic materials' large-strain, viscoplastic response (in a glassy state). The TN model is an excellent generic model for predicting the response of many different amorphous and semicrystalline thermoplastics classes.

The micromechanical foam model (MFM) is an advanced model for predicting polymer foams' time-dependent, non-linear large-strain behavior. 

The three-network foam model (TNFM) is a material developed explicitly for thermoplastic materials available as foam. It combines the three-network model (TNM) and the microfoam model (MFM). The TNFM explicitly incorporates the effects of different reduced densities.

The Dynamic Bergström-Boyce (DBB) model is an advanced constitutive model specifically developed to predict the time-dependent, dynamic, large-strain behavior of elastomer-like materials. It is an extension of the BB model.

The Silberstein-Boyce model (SB) predicts the large strain, time, temperature, and hydration-dependent response of Nafion. This material is used as a polymer electrolyte membrane (PEM) in batteries, solar cells, and fuel cells. Its response is like that of many other thermoplastics, except that it has an unusually strong dependence on the moisture level.

The Flow Evolution Networks (FEN) model obtains an advanced multi-network model like the Parallel Network model but more numerically efficient and easier to use. The FEN model is suitable for elastomers, thermoplastics, and other isotropic thermoplastic materials.

The Three Network Viscoplastic (TNV) model is a general-purpose viscoplastic material model capable of capturing the experimentally observed behaviors of many thermoplastics, including time-dependence, pressure-dependence of plastic flow, pressure-dependent volumetric response, damage accumulation, and triaxiality-dependent failure.

The Parallel Network (PN) model is the most advanced material model in the PolyUMod library. Each network in the PN model can have an isotropic or anisotropic hyper elastic response in series with an isotropic or anisotropic viscoplastic flow element. Each element can have temperature dependence and damage evolution.

Ansys software is accessible

It's vital to Ansys that all users, including those with disabilities, can access our products. As such, we endeavor to follow accessibility requirements based on the US Access Board (Section 508), Web Content Accessibility Guidelines (WCAG), and the current format of the Voluntary Product Accessibility Template (VPAT).

See What Ansys Can Do For You

Contact us today

* = Required Field

Thank you for reaching out!

We’re here to answer your questions and look forward to speaking with you. A member of our Ansys sales team will contact you shortly.

Footer Image