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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...

Datapoint Newsletter: Summer '17, Volume 23.3

Upcoming Events, Technical Team Expands full post

Plastics Injection Molding Structural Analysis Moldflow LS-DYNA ANSYS Moldex3D DIGIMAT Multi-CAE Molding Newsletters Validation ANSA

The Role of Materials in Simulation-Driven Product Development

DatapointLabs Technical Center for Materials has a mission to strengthen the materials core of manufacturing enterprises by facilitating the use of new materials, novel manufacturing processes, and simulation-based product development. A whole-process approach is needed to address the role of materials in this context. full post

Mechanical Plastics Rubbers Metals Hyperelastic Nonlinear Material Models Structural Analysis ANSYS Validation 3D Printing Matereality Materials Information Management

Mid-Stage Validation as a Process Step in Simulation V&V

Physically accurate simulation is a requirement for initiatives such as late-stage prototyping, additive manufacturing and digital twinning. The use of mid-stage validation has been shown to be a valuable tool to measure solver accuracy prior to use in simulation. Factors such as simulation settings, element type, mesh size, choice of material model, the material model parameter conversion process, quality and suitability of material property data used can all be evaluated. These validations do not use real-life parts, but instead use carefully designed standardized geometries in a controlled physical test that probes the accuracy of the simulation. With this a priori knowledge, it is possible to make meaningful design decisions. Confidence is gained that the simulation replicates real-life physical behavior. We present three case studies using different solvers and materials, which illustrate the broad applicability of this technique. full post

Mechanical Plastics Rubbers Metals Structural Analysis LS-DYNA Abaqus ANSYS Research Papers Presentations Validation 3D Printing

A Process for Creating, Managing and Deploying Materials in ANSA

Systems simulations involve material models for many materials. Since different kinds of simulations may be performed ranging from NVH to crash, such material files exist for a variety of solvers. It is a difficult task to ensure the self-consistency of material nomenclature for all these cases, such that the materials information is current and the right material files are used for each material. We present a system where materials information is uniformly deployed to CAD and CAE from libraries set up in Matereality. Consistent naming conventions and unit systems are used. Material files are linked to source material data for reference and traceability. full post

Papers Presentations ANSA Matereality Materials Information Management

New Generation Modeler for LS-DYNA Material Parameter Conversion

We describe a new software component that takes into consideration the unique multi-variate nature of LS-DYNA material models. Rate-dependent models require adjustment and tuning of many material parameters to fit the rate-dependent tensile properties. Drawing upon a robust back-end data model, a graphical user interface provides drag and drop capability to allow the user to perform tasks such as model extrapolation beyond tested data, modulus change, rate dependency tuning and failure criteria adjustment while assuring self-consistency of the underlying material model. Unit system conversions are also facilitated, eliminating error and ensuring that material inputs to simulation correctly reflect the intent of the CAE analyst. The utility of the Matereality CAE modelers is illustrated with examples for LS-DYNA material models MAT_019, MAT_024 and MAT_089 LCSR. full post

Mechanical Rate Dependency Yielding/Failure analysis LS-DYNA Papers Presentations Matereality

Datapoint Newsletter: Spring '17, Volume 23.2

Matereality v11, upcoming presentations full post

Plastics Automotive Moldflow LS-DYNA Abaqus ANSYS Moldex3D SIGMASOFT SolidWorks RADIOSS Validation ANSA Matereality

Insights into the Simulation of Failure of Ductile Plastics

Performing simulations that can approximate the material behavior of ductile plastics is daunting. Factors such as nonlinear elasticity, inclusion of volumetric and deviatoric behavior, finding and correctly applying the proper material data to create failure criteria are only a few hurdles. A variety of material models exist, each with numerous settings and varied parameter conversion methods. Combined, these cause a great deal of uncertainty for the FEA user. In previous papers, we delved into material models for both LS-DYNA (MAT089, MAT024, and MAT187) and ABAQUS (*ELASTIC, *PLASTIC) using mid-stage validation as a technique to probe solver accuracy. In this presentation, we summarize our findings on the benefits of this combined approach as a general tool to test and tune simulations for greater reliability. full post

Mechanical Plastics Automotive High Speed Testing Nonlinear Material Models Structural Analysis Multi-CAE Crash Presentations Validation

Datapoint Newsletter: Winter '17, Volume 23.1

New test capabilities, Matereality v10.2, upcoming presentations full post

Mechanical Plastics Rubbers Hyperelastic Visco-elastic Rate Dependency High Speed Testing Structural Analysis Composites Newsletters Validation

Datapoint Newsletter: Fall '16, Volume 22.4

CAETestBench Validations; Matereality Enterprise Workflows; Latest Publications Available on Knowmats full post

Plastics Rubbers Metals Hyperelastic Plasticity Rate Dependency Automotive Nonlinear Material Models LS-DYNA Abaqus ANSYS RADIOSS Newsletters Validation 3D Printing

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

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. full post

Density Rheology Thermal Mechanical Plastics Rubbers Hyperelastic Visco-elastic Plasticity Rate Dependency Yielding/Failure analysis Injection Molding Structural Analysis ANSYS Presentations Validation