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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...

TPM posts a SolidWorks-Matereality training video

TPM has posted this 3 minute video on how to use the SolidWorks Materials Portal

Mechanical Metals Structural Analysis SOLIDWORKS

Determination and Use of Material Properties for Finite Element Analysis: Book Review

This book is intended to be a companion to the NAFEMS book, "An Introduction to the Use of Material Models in FE". It informs Finite Element Analysis users of the manner and methodologies by which materials are tested in order to calibrate material models currently implemented in various FEA programs. While the authors seek first to satisfy the basic material models outlined in the companion book, they make important extensions to FEA used in currently active areas including explicit simulation. full post

Mechanical Plastics Rubbers Foams Metals Hyperelastic Visco-elastic Plasticity Rate Dependency Yielding/Failure analysis Aerospace and Defense Automotive Biomedical Building Materials Consumer Products Energy and Petroleum Material Supplier Furniture Industrial Goods CAE Vendor/Supplier Packaging Home Appliances Research Laboratory High Speed Testing Nonlinear Material Models Structural Analysis LS-DYNA Abaqus ANSYS DIGIMAT SOLIDWORKS MSC.DYTRAN MSC.MARC MSC.NASTRAN NX Nastran PAM-COMFORT PAM-CRASH RADIOSS SIMULIA Book Review

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

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

Using an Intermediate Validation Step to Increase CAE Confidence

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. full post

Plastics Plasticity Automotive Biomedical Consumer Products Material Supplier Toys/Sporting Goods Furniture Packaging Home Appliances Nonlinear Material Models Structural Analysis Abaqus Research Papers Validation

Datapoint Newsletter: Fall '14, Volume 20.4

Material Properties to Enhance Simulation Accuracy, Matereality Software Release Provides a Strong Materials Core for Manufacturing Enterprises full post


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

A Design-Validation-Production Workflow for Aerospace Additive Manufacturing

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. full post

Metals Aerospace and Defense Structural Analysis RADIOSS Research Papers Validation 3D Printing

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: Summer '15, Volume 21.3

Material Model Validation, New Knowledge Hub full post

Rate Dependency LS-DYNA Abaqus ANSYS Newsletters Validation