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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 Strategy for Material Testing and Data Management for the Automotive Industry 

Today, CAE is integrated with modern automotive product development. This creates new challenges for departments that support new product development. In the materials arena, the testing is elevated to much higher levels of sophistication and precision to accommodate the complex material models used in CAE. It is no longer simple matter to convert raw data into material model parameters. We present an end-to-end strategy that gives automakers a well managed pathway to transforming to simulation-based design. We operate a quick-turnaround expert material testing lab to support high-end CAE and product development. We provide a data management software designed specifically to capture and display material data of any complexity. The software can transform raw material data into material parameter files for most commonly used simulations. The CAE Modeler software is of adequate sophistication to fit equations to data, visualize material models along with raw data, and output material cards. Examples for high strain-rate crash material modeling will be presented.

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Automotive CAE Vendor/Supplier Nonlinear Material Models Structural Analysis Presentations


Datapoint Newsletter: Winter '13, Volume 19.1

A Strategy for Material Testing and Data Management for the Automotive Industry. DatapointLabs Continues to Grow

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Automotive Newsletters


Applying Digital Image Correlation Methods to SAMP-1 Characterization 

SAMP-1 is a complex material model designed to capture non-Mises yield and localization behavior in plastics. To perform well, it is highly dependent on accurate post-yield material data. A number of assumptions and approximations are currently used to translate measured stress-strain data into the material parameters related to these inputs. In this paper, we look at the use of direct localized strain measurements using digital image correlation (DIC) as a way to more directly extract the required data needed for SAMP-1.

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Plastics Nonlinear Material Models Structural Analysis LS-DYNA Composites Research Papers


Datapoint Newsletter: Fall '12, Volume 18.4

Inc. Magazine Features DatapointLabs. Book Release. Catalog Updates.

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Newsletters


Datapoint Newsletter: Summer '12, Volume 18.3

Catalog Updates. New Digital Image Correlation Capability.

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Newsletters


Pre-processor Software for Calibration of LS-DYNA® Material Models

LS-DYNA contains a wealth of material models that allow for the simulation of transient phenomena. These models are often quite complex and difficult to calibrate. We present CAE Modeler, a generalized pre-processor software used to convert material property data into material parameters for different material models used in CAE. In this paper, CAE Modeler is used to streamline the conversion of rate dependent stress-strain data into material parameters for the MAT_024 material model. The interactive software is capable of handling all three rate dependency options of MAT_024 and outputs a data file that can be read directly into LS-DYNA. Support for other material models is envisaged.

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Rate Dependency Nonlinear Material Models Structural Analysis LS-DYNA Papers


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: Winter '12, Volume 18.1

Expanded Mechanical Test Capabilities.

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Mechanical Rubbers Newsletters


Datapoint Newsletter: Fall '11, Volume 17.3

Expansion: New Lab Space, New TestPaks. DIGIMAT MX Reverse Engineering Update.

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Mechanical DIGIMAT PAM-COMFORT Newsletters


Datapoint Newsletter: Summer '11, Volume 17.2

New Lab Space & Equipment

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Mechanical Newsletters