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...
September 08, 2016 | by Datapoint Newsletters | views 5681
Support for GISSMO, New Book, SDPD Workflow for Materials
Mechanical High Speed Testing Nonlinear Material Models Structural Analysis LS-DYNA Newsletters Validation
March 09, 2012 | by Datapoint Newsletters | views 5672
Expanded Mechanical Test Capabilities.
October 05, 2016 | by DatapointLabs | views 5645
Hyperelastic material models are complex in nature requiring stress-strain properties in uniaxial, biaxial and shear modes. The data need to be self-consistent in order to fit the commonly used material models. Choosing models and fitting this data to these equations adds additional uncertainty to the process. We present a validation mechanism where, using of a standard validation experiment one can compare results from a simulation and a physical test to obtain a quantified measure of simulation quality. Validated models can be used with greater confidence in the design of real-life components.
Mechanical Hyperelastic Structural Analysis ANSYS Papers Presentations Validation
April 11, 2016 | by Datapoint Newsletters | views 5623
Focus on Validation, STEM Education, New Test Apparatus, Support for Altair HyperWorks
Mechanical LS-DYNA Abaqus Altair RADIOSS Newsletters Validation
October 07, 2017 | by DatapointLabs | views 5594
Physically accurate simulation is a requirement for initiatives such as late-stage prototyping, additive manufacturing, and digital twinning. Simulations use mathematical models to replicate physical reality. Verification and validation (V&V) is an important step for high-fidelity simulation. While verification is a way to check the accuracy of these models, factors such as simulation settings, element type, mesh size, choice of material model, material parameter conversion process, quality and suitability of material property data used can have a large impact on simulation quality. Validation presents a means to check simulation accuracy against a physical experiment. These validations are a valuable tool to measure solver accuracy prior to use in product development. Confidence is gained that the simulation replicates real-life physical behavior.
May 11, 2009 | by DatapointLabs | views 5542
High strain rate material modelling of polymers for use in crash and drop testing has been plagued by a number of problems. These include poor quality and noisy data, material models unsuited to polymer behaviour and unclear material model calibration guidelines. The modelling of polymers is thus a risky proposition with a highly variable success rate. In previous work, we tackled each of the above problems individually. In this paper, we summarize and then proceed to present a material modelling strategy that can be applied for a wide variety of polymers.
Mechanical Plastics Aerospace and Defense Automotive Consumer Products Material Supplier Industrial Goods Packaging Home Appliances High Speed Testing Nonlinear Material Models Structural Analysis LS-DYNA Abaqus ANSYS MSC.DYTRAN PAM-CRASH Altair RADIOSS Research Papers
March 28, 2013 | by Datapoint Newsletters | views 5535
A Strategy for Material Testing and Data Management for the Automotive Industry. DatapointLabs Continues to Grow
November 15, 2016 | by Datapoint Newsletters | views 5510
CAETestBench Validations; Matereality Enterprise Workflows; Latest Publications Available on Knowmats
Plastics Rubbers Metals Hyperelastic Plasticity Rate Dependency Automotive Nonlinear Material Models LS-DYNA Abaqus ANSYS Altair RADIOSS Newsletters Validation 3D Printing
August 12, 2014 | by DatapointLabs | views 5501
Material specifications define properties for incoming materials to meet required criteria. We present software that manages creation of material specifications, input of properties and material composition; and provides a way to evaluate qualification per specification. While it is designed for OEM/Tier n environments, it is also applicable for materials suppliers.
Automotive Moldflow LS-DYNA Abaqus ANSYS Moldex3D DIGIMAT SIGMASOFT SOLIDWORKS ADINA ANSYS FIDAP B-Sim Cadmould Altair HyperXtrude MSC.DYTRAN MSC.MARC MSC.NASTRAN Universal Molding NX Nastran PAM-CRASH PAM-FORM PlanetsX Polycad POLYFLOW Blow Molding POLYFLOW Extrusion POLYFLOW Thermoforming PolyXtrue Altair RADIOSS Simpoe-Mold T-Sim VEL VISI Flow WinTXS Presentations
June 11, 2015 | by DatapointLabs | views 5479
With the growing interest in 3D printing, there is a desire to accurately simulate the behavior of components made by this process. The layer by layer print process appears to create a morphology that is different from that from conventional manufacturing processes. This can have dramatic impact on the material properties, which in turn, can affect how the material is modeled in simulation. In the first stage of our work, we seek to test an additively manufactured material for mechanical properties and validate its use in ANSYS simulation using the Cornell Bike Crank model.
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