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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...

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. full post

Automotive LS-DYNA Abaqus Composites Newsletters Validation

Datapoint Newsletter: Spring '13, Volume 19.2

Validating Simulation Using Digital Image Correlation. New TestPaks® for PlanetsX Injection Molding CAE Software Added to Test Catalog. full post

Abaqus PlanetsX Newsletters Validation

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. full post

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 full post

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. full post

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. full post


Datapoint Newsletter: Summer '12, Volume 18.3

Catalog Updates. New Digital Image Correlation Capability. full post


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. full post

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. full post


Datapoint Newsletter: Winter '12, Volume 18.1

Expanded Mechanical Test Capabilities. full post

Mechanical Rubbers Newsletters