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Validating Simulation Using Digital Image Correlation 

by DatapointLabs5,843 views

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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AbaqusAerospace and DefenseAutomotiveBiomedicalCAE Vendor/SupplierCompositesElectonics/ElectricalMaterial SupplierNonlinear Material ModelsPlasticsPresentationsSIMULIAStructural Analysis

Use of Digital Image Correlation to Obtain Material Model Parameters for Composites 

by DatapointLabs5,636 views

The development of material parameters for FEA is heavily reliant on precision material data that captures the stress-strain relationship with fidelity. While conventional methods involving UTMs and extensometers are quite adequate for obtaining such data on a number of materials, there are important cases where they have been known to be inadequate. The testing of composites to obtain directional properties remains a complex task because of the difficulty related to measuring these properties in different orientations. Digital Image Correlation (DIC) methods are able to capture the stress-strain relationship all the way to failure. In this paper, we combine DIC and conventional methods to measure directional properties of composites. We exploit the unique capability of DIC to retroactively place virtual strain gauges in areas of critical interest in the test specimen. Utilising an Iosipescu fixture, we measure shear properties of structured composites in a variety of orientations to compute the parameters of an orthotropic linear elastic material model. Model consistency is checked by validation using Abaqus.

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AbaqusAerospace and DefenseCompositesNonlinear Material ModelsResearch PapersSIMULIAStructural Analysis

Applying Digital Image Correlation Methods to SAMP-1 Characterization 

by DatapointLabs5,565 views

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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CompositesLS-DYNANonlinear Material ModelsPlasticsResearch PapersStructural Analysis

Material Parameter Calibration Services for Abaqus Non-Linear Material Models

by DatapointLabs6,099 views

DatapointLabs' TestPaks (material testing + model calibration + Abaqus input decks) for rate-dependent, hyperelastic, viscoelastic, NVH, and the use of Abaqus CAE Modeler to transform raw data into material cards will be presented. A representative from Idiada will present a case study explaining the use of DatapointLabs’ material data and TestPaks for simulation.

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AbaqusCompositesFoamsHigh Speed TestingMetalsNonlinear Material ModelsPlasticsPresentationsRubbersSIMULIAStructural Analysis

Material Modeling and Mold Analysis 

by DatapointLabs6,247 views

We present a perspective on material modeling as applied to mold analysis requirements. Melt-solid transitions and the case for a unified material model are discussed, along with prediction of post-filling material behavior and shrinkage, and the impact of viscous heating on flow behavior and material degradation.

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Aerospace and DefenseAutomotiveBiomedicalBlow MoldingCAE Vendor/SupplierCompositesConsumer ProductsElectonics/ElectricalEnergy and PetroleumExtrusionFoamsGelsHome AppliancesIndustrial GoodsInjection MoldingMetalsMoldflowNonlinear Material ModelsOils/LubricantsPackagingPlasticsPresentationsRubbersWaxes

Mechanical Properties of Polymers and Composites, 2nd Edition: Book Review

by DatapointLabs5,501 views

This book presents a valuable resource for engineers and designers seeking to apply structural analysis and other advanced methods to the design of plastic parts. The reader learns what to expect for the mechanical properties of polymers and develops a grasp of how plastics respond to various applied stress conditions. The book introduces mechanical tests and polymer transitions, moving onward into chapters on elastic behavior, creep and stress relaxation, dynamic mechanical properties, stress- strain behavior and strength, It also covers abrasion, fatigue, friction and stress cracking. Additionally, the effects of fillers and fibers on these properties are considered.

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Book ReviewCompositesMechanicalPlasticsStructural Analysis