August 12, 2014 | by DatapointLabs | views 4615
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.
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Automotive
Moldflow
LS-DYNA
Abaqus
ANSYS
Moldex3D
DIGIMAT
SIGMASOFT
SOLIDWORKS
ADINA
ANSYS FIDAP
B-Sim
Cadmould
HyperXtrude
MSC.DYTRAN
MSC.MARC
MSC.NASTRAN
Multi-CAE Molding
NX Nastran
PAM-CRASH
PAM-FORM
PlanetsX
Polycad
POLYFLOW Blow Molding
POLYFLOW Extrusion
POLYFLOW Thermoforming
PolyXtrue
RADIOSS
Simpoe-Mold
T-Sim
VEL
VISI Flow
WinTXS
Presentations
June 18, 2014 | by Datapoint Newsletters | views 4431
New Developments, Verification & Validation, Digimat-MX
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DIGIMAT
Newsletters
May 20, 2014 | by Datapoint Newsletters | views 4359
Verification and Validation Are Focus of Technical Presentations at CAE Events, New Multi-CAE TestPaks® Deliver Data for Injection Molding and Crash Simulations,
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High Speed Testing
Injection Molding
Newsletters
May 13, 2014 | by DatapointLabs | views 4484
Plastics appeared as design materials of choice about 30 years ago. They brought with them huge design challenges because their multi-variable, non-linear nature was not well understood by engineers trained to work in a linear elastic world. We outline a 20 year journey accompanying our customers in their efforts to understand and simulate these remarkable materials to produce the highly reliable plastic products of today. We discuss challenges related to processes such as injection molding vs. blow-molding; coping with filled plastics; the difficulties of modeling polymers for crash applications. We include our latest findings related to volumetric yield in polymers and its relationship to failure. We describe the material database technology that was created to store this kind of multi-variable data and the analytical tools created to help the CAE engineer understand and use plastics material data.
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Plastics
Automotive
Blow Molding
High Speed Testing
Injection Molding
Nonlinear Material Models
Structural Analysis
Moldflow
LS-DYNA
Abaqus
ANSYS
Moldex3D
DIGIMAT
Multi-CAE Crash
Multi-CAE Molding
Multi-CAE Structural
PAM-CRASH
Presentations
April 30, 2014 | by DatapointLabs | views 3684
The use of CAE in design decision-making has created a need for proven simulation accuracy. The two areas where simulation touches the ground are with material data and experimental verification and validation (V&V). Precise, well designed and quantitative experiments are key to ensure that the simulation initiates with correct material behavior. Similar validation experiments are needed to verify simulation and manage the risk associated with this predictive technology.
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Plastics
Rubbers
Foams
Metals
Automotive
Biomedical
Building Materials
Consumer Products
Energy and Petroleum
Material Supplier
Toys/Sporting Goods
Electonics/Electrical
Industrial Goods
CAE Vendor/Supplier
Mold Maker/Designer
Nonlinear Material Models
Structural Analysis
Abaqus
Composites
SIMULIA
Presentations
April 04, 2014 | by Datapoint Newsletters | views 4417
Material Testing and Data Management to be Showcased at Technical Meetings Globally.
DatapointLabs Expands Composite Testing to Meet Industry Demand.
Supporting Innovation and Ingenuity in Our Local Schools
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Plastics
Electonics/Electrical
LS-DYNA
Newsletters
February 13, 2014 | by DatapointLabs | views 3759
As part of Cornell University's mechanical engineering curriculum and study of classical beam theory, an aluminium beam is deformed to a specific load. Theoretical strains are calculated at certain points along the beam using beam theory, and then verified by using strain gauges placed at these points on the beam. This experiment is then extended to simulation of the same test setup in simulation software, where strains are analyzed at the same points. Discrepancies between the simulation, theory, and strain gauge results have often plagued the test, especially when incorporating more complex beam design. Through use of digital image correlation (DIC) it is possible to pinpoint some of the problem areas in the beam analysis and provide a better understanding of the localized strains that occur at any point in the deformed beam. The use of DIC provides a full field validation of simulation data, rather than a single spot check that strain gauges can provide. This validation technique helps to eliminate error that is associated with strain gauge placement and the possibility of missing strain hot spots that can arise when analyzing complex deformations or geometries.
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Plastics
Metals
Aerospace and Defense
Automotive
Biomedical
Building Materials
Consumer Products
Material Supplier
Toys/Sporting Goods
Electonics/Electrical
Industrial Goods
CAE Vendor/Supplier
Mold Maker/Designer
Structural Analysis
ANSYS
Presentations
February 10, 2014 | by Datapoint Newsletters | views 4261
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
November 19, 2013 | by Datapoint Newsletters | views 3911
DatapointLabs on Inc. 5000 List. New Matereality Compare Module Automates Graphical Comparisons. Headquarters Facility Expands.
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Newsletters
October 29, 2013 | by DatapointLabs | views 3856
There is interest in quantifying the differences between simulation and real life experimentation. This kind of work establishes a baseline for more complex simulations bringing a notion of traceability to the practice of CAE. We present the use of digital image correlation as a way to capture strain fields from component testing and compare these to simulation. Factors that are important in ensuring fidelity between simulation and experiment will be discussed.
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Plastics
Aerospace and Defense
Automotive
Biomedical
Material Supplier
Electonics/Electrical
CAE Vendor/Supplier
Nonlinear Material Models
Structural Analysis
Abaqus
Composites
SIMULIA
Presentations
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