October 28, 2009 | by Datapoint Newsletters | views 5930
Expanded Support for Injection Molding CAE. Direct Data Downloads to Autodesk-Moldflow and Moldex3D. Ansys Polyflow now In-House. Elongational Viscosity Data Using Peldom. NEW Injection Molding Partners.
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Moldflow
ANSYS
Moldex3D
SIGMASOFT
POLYFLOW Blow Molding
POLYFLOW Extrusion
POLYFLOW Thermoforming
PolyXtrue
Simpoe-Mold
VISI Flow
Newsletters
April 29, 2015 | by Datapoint Newsletters | views 5915
Validation is Focus of DatapointLabs Technical Presentations, New Combined Loading Compression Test for Composite Materials, Matereality Software for Your Product Development Team
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Plastics
Newsletters
July 05, 2016 | by Hubert Lobo | views 5914
We will focus on our work related to the testing, modeling and validation of simulation for crash
and durability applications, including testing techniques, software tools for material parameter conversion, and
the use of a mid-stage validation process that uses standardized experiments to check the accuracy of the simulation prior to use in real-life applications. In addition, we present a short introduction to the Knowmats initiative which seeks to collect posts and links to papers from industry experts as a reference for simulation professionals.
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Mechanical
Plastics
Automotive
High Speed Testing
Nonlinear Material Models
Structural Analysis
Universal Crash
Presentations
Validation
November 27, 2007 | by DatapointLabs | views 5881
Many LS-DYNA models are used for plastics crash simulation. However, common models are not designed for plastics. We present best practices developed for adapting common models to plastics, as well as best testing protocols to generate clean, accurate rate-dependent data.
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Metals
Aerospace and Defense
Automotive
Consumer Products
Material Supplier
Industrial Goods
Packaging
High Speed Testing
Nonlinear Material Models
Structural Analysis
LS-DYNA
Abaqus
ANSYS
MSC.DYTRAN
PAM-CRASH
Presentations
July 27, 2015 | by Paul Du Bois | views 5856
The need for accurate material models to simulate the deformation, damage and failure of polymer matrix composites is becoming critical as these materials are gaining increased usage in the aerospace and automotive industries. While there are several composite material models currently available within LS-DYNA, there are several features that have been identified that could improve the predictive capability of a composite model. To address these needs, a combined plasticity and damage model suitable for use with both solid and shell elements is being developed and is being implemented into LS-DYNA as MAT_213. A key feature of the improved material model is the use of tabulated stress-strain data in a variety of coordinate directions to fully define the stress-strain response of the material. To date, the model development efforts have been focused on creating the plasticity portion of the model. The Tsai-Wu development efforts have focused on creating the plasticity portion of the model. The Tsai-Wu composite failure model has been generalized and extended to a strain-hardening based orthotropic material model with a non-associative flow rule. The coefficients of the yield function, and the stresses to be used in both the yield function and the flow rule are computed based on the input stress-strain curves using the effective plastic strain as the tracking variable. The coefficients in the flow rule are computed based on the obtained stress-strain data. The developed material model is suitable for implementation within LS-DYNA for use in analyzing the nonlinear response of polymer composites.
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Mechanical
Plasticity
Yielding/Failure Analysis
Aerospace and Defense
Automotive
High Speed Testing
LS-DYNA
Composites
Research Papers
Validation
February 10, 2014 | by Datapoint Newsletters | views 5853
10 Years of Your Material Data, Available in Your Matereality® Database. Things You Can Do with Your Matereality Personal Material Database.
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Newsletters
October 28, 2014 | by DatapointLabs | views 5827
It has long been desired to quantify the accuracy of simulation results. Through developments in digital image correlation (DIC) techniques, it is now possible to quantify the deviation between simulation and real life experimentation. In this paper, three-dimension DIC measurements of deformed parts are compared to deformed surfaces predicted in simulation. Using DIC, it is possible to import deformed surface elements from simulation and map the magnitude of deviation from the measurements of the actual deformed shape.
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High Speed Testing
Nonlinear Material Models
Structural Analysis
ANSYS
Presentations
Validation
April 16, 2013 | by Datapoint Newsletters | views 5823
Validating Simulation Using Digital Image Correlation. New TestPaks® for PlanetsX Injection Molding CAE Software Added to Test Catalog.
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Abaqus
PlanetsX
Newsletters
Validation