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Validation

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A Framework for the Calibration and Validation of Multiscale Material Models

by DatapointLabs12,330 views

Multiscale material models are being increasingly applied for high-level simulation of complex materials, such as continuous reinforced material products (unidirectional and woven product forms). These multiscale material models require input data from a minimum of experimental tests, which are then used to characterize a multiscale material model that can be used in structural simulations within a variety of commercial finite element solvers, including OptiStruct, RADIOSS, Abaqus, and LS-Dyna. Using these models, it is possible is to predict the performance of layups from single layer properties, as well as performance of these composites under complex loadings. We present a framework where the required experimental data are collected, including a process for maintaining traceability and consistency of the experimental data using the Matereality software. Experimental test data are transmitted to the HyperWorks Multiscale Designer software for development of an appropriate multiscale material model. The resulting multiscale material model data is stored within Matereality linked to the source experimental data. Different manufactured layups are tested and compared to simulation in a validation step which provides a measure of the solution accuracy.

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AbaqusAltair RADIOSSCompositesLS-DYNAMechanicalNonlinear Material ModelsOptiStructStructural AnalysisValidation

Workshop: Testing, Modeling and Validation for Plastics & Rubber Simulation in ANSYS

by DatapointLabs8,015 views

Plastics exhibit non-linear viscoelastic behavior followed by a combination of deviatoric and volumetric plastic deformation until failure. Capturing these phenomena correctly in simulation presents a challenge because of limitations in commonly used material models. We follow an approach where we outline the general behavioral phenomena, then prescribe material models for handling different phases of plastics deformation. Edge cases will then be covered to complete the picture. Topics to be addressed include: Using elasto-plasticity; When to use hyperelasticity; Brittle polymers – filled plastics; Failure modes to consider; Criteria for survival; Choosing materials; Spatial non-isotropy from injection molding; Importance of residual stress; Visco-elastic and creep effects; Strain-rate effects for drop test and crash simulations; Fitting material data to FEA material models; The use of mid-stage validation as a tool to confirm the quality of simulation before use in real-life applications.

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ANSYSDensityHyperelasticInjection MoldingMechanicalPlasticityPlasticsPresentationsRate DependencyRheologyRubbersStructural AnalysisThermalValidationViscoelasticYielding/Failure Analysis

The Role of Material Data in the Simulation of Injection Molded Parts

by DatapointLabs7,476 views

The modeling of material behavior for injection molded plastics is a vital step for good simulation results. We detail the types of material data needed by various injection-molding simulation programs, factors that can affect simulation quality including test techniques and process variables such as moisture content. The case of fiber filled plastics is covered along with the extension to structural analysis applications.

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AbaqusDIGIMATInjection MoldingLS-DYNAMoldex3DMoldflowNonlinear Material ModelsPlasticsPresentationsRate DependencySIGMASOFTSimpoe-MoldStructural AnalysisUniversal MoldingValidationViscoelastic

Using an Intermediate Validation Step to Increase CAE Confidence

by DatapointLabs7,360 views

Simulations contain assumptions and uncertainties that a designer must evaluate to obtain a measure of accuracy. The assumptions of the product design can be differentiated from the ones for the solver and material model through the use of a mid-stage validation. An open loop validation uses a controlled test on a standardized part to compare results from a simulation to the physical experiment. From the validation, confidence in the material model and solver is gained. In this study, the material properties of a polypropylene are tested to characterize for an *ELASTIC *PLASTIC model in ABAQUS. A validation of a quasi-static three-point bending experiment of a parallel ribbed plate is then performed and simulated. A comparison of the strain fields resulting from the complex stress state on the face of the ribs obtained by digital image correlation (DIC) vs. simulation is used to quantify the simulation's fidelity.

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AbaqusAutomotiveBiomedicalConsumer ProductsFurnitureHome AppliancesMaterial SupplierNonlinear Material ModelsPackagingPlasticityPlasticsResearch PapersStructural AnalysisToys/Sporting GoodsValidation

A Standardized Mechanism to Validate Crash Models for Ductile Plastics

by DatapointLabs7,342 views

Quantifying simulation accuracy before running crash simulations could be a helpful confidence building measure. This study continues our development of a mechanism to validate material models for plastics used in modeling high-speed impact. Focusing on models for isotropic materials that include options for rate dependency and failure, we explore other models commonly used for ductile plastics including MAT089 and MAT187.

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AutomotiveHigh Speed TestingLS-DYNAMechanicalPackagingPlasticsRate DependencyResearch PapersToys/Sporting GoodsValidationYielding/Failure Analysis

A Design-Validation-Production Workflow for Aerospace Additive Manufacturing

by DatapointLabs7,120 views

With the advent of 3D printing and additive manufacturing, manufacturing designs previously thought difficult to produce can now be generated quickly and efficiently and without tooling. In the aerospace industry, weight is often tied directly to cost and is thus of great importance to any engineering design. Traditionally, the design process often involves much iteration between the designer and the analyst, where the designer submits a design to the analyst, and then the analyst completes his or her analysis and sends recommendations back to the designer. The process is repeated until a valid design meets the analysis criteria. The design is then handed to the manufacturing team which then may have additional constraints or concerns and iterations can continue. Additive manufacturing coupled with topology optimization allows the design and analysis loops and manufacturing iterations to be reduced significantly or even eliminated. The critical step is to ensure that the part will perform as simulated.

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3D PrintingAerospace and DefenseAltair RADIOSSMetalsResearch PapersStructural AnalysisValidation