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Knowmats is an informal repository of information related to materials and simulation. The information helps simulation professionals perform best-in-class simulation with a better understanding of how materials are represented in FEA and simulation. read more...


A Simplified Approach for Strain-Rate Dependent Hyperelastic Materials with Damage

"Simulation of rubber-like materials is usually based on hyperelasticity. If strain-rate dependency has to be considered viscous dampers are added to the rheological model. A disadvantage of such a description is timeconsuming parameter identification associated with the damping constants. In this paper, a tabulated formulation is presented which allows fast generation of input data based on uniaxial static and dynamic tensile tests at different strain rates. Unloading, i.e. forming of a hysteresis, can also be modeled easily based on a damage formulation. We show the theoretical background and algorithmic setup of our model which has been implemented in the explicit solver LS-DYNA [1]-[3]. Apart from purely numerical examples, the validation of a soft and a hard rubber under loading and subsequent unloading at different strain rates is shown."

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Mechanical Rubbers Hyperelastic Rate Dependency Yielding/Failure Analysis Automotive High Speed Testing LS-DYNA Research Papers


Mid-Stage Validation as a Process Step in Simulation V&V

Physically accurate simulation is a requirement for initiatives such as late-stage prototyping, additive manufacturing and digital twinning. The use of mid-stage validation has been shown to be a valuable tool to measure solver accuracy prior to use in simulation. Factors such as simulation settings, element type, mesh size, choice of material model, the material model parameter conversion process, quality and suitability of material property data used can all be evaluated. These validations do not use real-life parts, but instead use carefully designed standardized geometries in a controlled physical test that probes the accuracy of the simulation. With this a priori knowledge, it is possible to make meaningful design decisions. Confidence is gained that the simulation replicates real-life physical behavior. We present three case studies using different solvers and materials, which illustrate the broad applicability of this technique.

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Mechanical Plastics Rubbers Metals Structural Analysis LS-DYNA Abaqus ANSYS Research Papers Presentations Validation 3D Printing


Datapoint Newsletter: Summer '08, Volume 14.2

New Tests and TestPaks. New Presentations On-line.

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LS-DYNA Altair RADIOSS VISI Flow Newsletters Validation


Datapoint Newsletter: Spring '19, Vol. 25.2

Full metals testing capability added to DatapointLabs test catalog

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Mechanical Metals Automotive Structural Analysis Moldflow LS-DYNA DIGIMAT Composites Newsletters Validation Altair HyperWorks


Datapoint Newsletter: Spring '12, Volume 18.2

Technical Note: On the Conditioning of Plastics Prior to Testing. Expansion of Conditioning Capabilities.

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Newsletters


Datapoint Newsletter: Summer '13, Volume 19.3

Digital Image Correlation Techniques Enhance Composite Testing Capability. Store and Manage Properties of Structured Composites with a Matereality® Database.

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Automotive LS-DYNA Abaqus Composites Newsletters Validation


Cold Runner Design - Getting the whole picture matters

The profitability of a molded rubber product depends to a large extent on the mold efficiency. To achieve the maximum productivity, besides the larges possible number of cavities it is desirable to minimize the rubber consumption and to produce parts without defects.

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Rheology Rubbers Automotive Biomedical Injection Molding SIGMASOFT Newsletters


Datapoint Newsletter: Fall '08, Volume 14.4

A Makeover for DatapointLabs.

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Rheology Thermal Mechanical Newsletters


Selecting Material Models for the Simulation of Foams 

We seek to lay down a framework to help us understand the different behavioral classes of foams. Following a methodology that we previously applied to plastics, we will then attempt to propose the right LS-DYNA material models that best capture these behaviours. Guidelines for model selection will be presented as well as best practices for characterization. Limitations of existing material models will be discussed.

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Foams Automotive Consumer Products Material Supplier Packaging Home Appliances High Speed Testing Nonlinear Material Models Structural Analysis LS-DYNA Abaqus ANSYS MSC.DYTRAN Research Papers


Material Models in Simulation, Part 3: New viscosity models 

We discuss developments in viscosity modeling. New models are not generalized, but are designed to predict expected trends for polymers and incorporate both Newtonian and shear-thinning behavior.

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Plastics Material Supplier Mold Maker/Designer Injection Molding Moldflow Presentations