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Posts in Category: 'Composites'

Datapoint Newsletter: Spring 2024, Vol. 30.1

Successful accreditation audits; company growth; technical conferences full post

Thermal Mechanical Plastics Metals Aerospace and Defense Automotive Composites Newsletters Quality

Integrated Experimental Analysis, Modeling, and Validation of High-Performance UD CFRTP Lamina

Thermoplastic composites present a promising opportunity for innovation within the automotive sector, owing to their lightweight properties, durability, and recyclability. Our efforts concentrate on testing and developing models to accurately simulate the behavior of materials in automotive settings. By delivering precise simulation models, we empower manufacturers to gain deeper insights into the performance of these materials, thereby streamlining their incorporation into vehicle design and manufacturing workflows. This advancement ensures the effective utilization of thermoplastic composites, resulting in tangible advantages such as improved fuel efficiency, enhanced safety, and reduced environmental footprint across the automotive industry. full post

Automotive Nonlinear Material Models Composites Validation

Datapoint Newsletter: Fall 2022, Vol. 28.2

DatapointLabs Invests in New Testing Capabilities, Expands Market Reach full post

Thermal Mechanical Aerospace and Defense Biomedical Electonics/Electrical Composites Newsletters

Datapoint Newsletter: Winter '22, Vol. 28.1

DatapointLabs Achieves Nadcap® Accreditation full post

Thermal Mechanical Plastics Composites Quality

Datapoint Newsletter: Spring 2021, Vol. 27.1

DatapointLabs Will Move, Summer '21; Get Your Testing in Now. Partner Showcase: Altair full post

High Speed Testing Structural Analysis Composites RADIOSS Newsletters

Datapoint Newsletter: Summer '20, Vol. 26.2

Full Composites Testing Capabilities full post

Aerospace and Defense Automotive Structural Analysis LS-DYNA Abaqus DIGIMAT Composites Newsletters Altair HyperWorks

Datapoint Newsletter: Summer '19, Vol. 25.3

New DatapointLabs Website; High Temperature Crash Properties full post

Density Rheology Thermal Mechanical Plastics Automotive High Speed Testing Injection Molding Structural Analysis LS-DYNA ANSYS DIGIMAT Composites Newsletters Validation

Datapoint Newsletter: Spring '19, Vol. 25.2

Full metals testing capability added to DatapointLabs test catalog full post

Mechanical Metals Automotive Structural Analysis Moldflow LS-DYNA DIGIMAT Composites Newsletters Validation Altair HyperWorks

Materials Data Workflow for Simulation of Composites in Transportation Applications

Multi-scale material models are being increasing applied for high level simulation of complex materials such as UD layups, fabric laminate composites, fiber-filled plastics. These models require data inputs from a variety of material tests which are then assembled into models used in the finite element solvers. We present an infrastructure for the digitalization of such information, where the required material data are collected including a process for maintaining traceability and consistency of the source data. Information about the compositional characteristics and processing history are captured. Built-in software modules or external client tools can be used for calibration of material models with the resulting material file linked to the source data. The accuracy of the reduced order model can be checked by running a validation simulation against a physical test. Models can be published and released into a master CAE materials library output where they can be used to model such materials for a variety of target solvers. This process improves the reliability and accuracy of composites simulation. full post

Aerospace and Defense Automotive Structural Analysis Composites Presentations Materials Information Management

Datapoint Newsletter: Vol. 24.2

New Synergies with Applus+ Laboratories, Expanded Test Catalog full post

Mechanical Metals Structural Analysis LS-DYNA Abaqus Composites RADIOSS Newsletters Validation 3D Printing

A Framework for the Calibration and Validation of Multiscale Material Models

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. full post

Mechanical Nonlinear Material Models Structural Analysis LS-DYNA Abaqus Composites RADIOSS Validation OptiStruct

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

Theoretical Development of an Orthotropic Elasto-Plastic Generalized Composite Material Model

The need for accurate material models to simulate the deformation, damage and failure of polymer matrix composites is becoming critical as these materials are gaining increased usage in the aerospace and automotive industries. While there are several composite material models currently available within LS-DYNA, there are several features that have been identified that could improve the predictive capability of a composite model. To address these needs, a combined plasticity and damage model suitable for use with both solid and shell elements is being developed and is being implemented into LS-DYNA as MAT_213. A key feature of the improved material model is the use of tabulated stress-strain data in a variety of coordinate directions to fully define the stress-strain response of the material. To date, the model development efforts have been focused on creating the plasticity portion of the model. The Tsai-Wu development efforts have focused on creating the plasticity portion of the model. The Tsai-Wu composite failure model has been generalized and extended to a strain-hardening based orthotropic material model with a non-associative flow rule. The coefficients of the yield function, and the stresses to be used in both the yield function and the flow rule are computed based on the input stress-strain curves using the effective plastic strain as the tracking variable. The coefficients in the flow rule are computed based on the obtained stress-strain data. The developed material model is suitable for implementation within LS-DYNA for use in analyzing the nonlinear response of polymer composites. full post

Mechanical Plasticity Yielding/Failure analysis Aerospace and Defense Automotive High Speed Testing LS-DYNA Composites Research Papers Validation

Verification and Validation of a Three-Dimensional Generalized Composite Material Model

"A general purpose orthotropic elasto-plastic computational constitutive material model has been developed to accurately predict the response of composites subjected to high velocity impact. The three-dimensional orthotropic elasto-plastic composite material model is being implemented initially for solid elements in LS-DYNA® as MAT213. In order to accurately represent the response of a composite, experimental stress-strain curves are utilized as input, allowing for a more general material model that can be used on a variety of composite applications. The theoretical details are discussed in a companion paper. This paper documents the implementation, verification and validation of the material model using the T800-F3900 fiber/resin composite material." full post

Mechanical Plasticity Yielding/Failure analysis Aerospace and Defense Automotive High Speed Testing LS-DYNA Composites Research Papers Validation

Software for Creating LS-DYNA Material Model Parameters from Test Data 

LS-DYNA software contains a wealth of material models that allow for the simulation of transient phenomena. The Matereality® CAE Modeler is a generalized pre-processor software used to convert material property data into material parameters for different material models used in CAE. In a continuation of previously presented work, we discuss the extension of the CAE Modeler software to commonly used material models beyond MAT_024. Software enhancements include advanced point picking to perform extrapolations beyond the tested data, as well as the ability to fine-tune the material models while scrutinizing the trends shown in the underlying raw data. Advanced modeling features include the ability to tune the rate dependency as well as the initial response. Additional material models that are quite complex and difficult to calibrate are supported, including those for hyperelastic and viscoelastic behavior. As before, the written material cards are directly readable into the LS-DYNA software, but now they can also be stored and catalogued in a material card library for later reuse. full post

Plastics Rubbers Foams Metals High Speed Testing Injection Molding Nonlinear Material Models Structural Analysis LS-DYNA Composites Presentations

Providing an Experimental Basis in Support of FEA 

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. full post

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

Validating Simulation Using Digital Image Correlation 

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. full post

Plastics Aerospace and Defense Automotive Biomedical Material Supplier Electonics/Electrical CAE Vendor/Supplier Nonlinear Material Models Structural Analysis Abaqus Composites SIMULIA Presentations

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

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. full post

Aerospace and Defense Nonlinear Material Models Structural Analysis Abaqus Composites SIMULIA Research Papers

Datapoint Newsletter: Summer '13, Volume 19.3

Digital Image Correlation Techniques Enhance Composite Testing Capability. Store and Manage Properties of Structured Composites with a Matereality® Database. full post

Automotive LS-DYNA Abaqus Composites Newsletters Validation

Applying Digital Image Correlation Methods to SAMP-1 Characterization 

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. full post

Plastics Nonlinear Material Models Structural Analysis LS-DYNA Composites Research Papers

Material Parameter Calibration Services for Abaqus Non-Linear Material Models

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. full post

Plastics Rubbers Foams Metals High Speed Testing Nonlinear Material Models Structural Analysis Abaqus Composites SIMULIA Presentations

Datapoint Newsletter: Fall '10, Volume 16.4

Composite Testing on the Rise. Matereality 4.0 Release. full post

Composites Newsletters

Material Modeling and Mold Analysis 

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. full post

Plastics Rubbers Foams Metals Aerospace and Defense Automotive Biomedical Consumer Products Energy and Petroleum Electonics/Electrical Industrial Goods CAE Vendor/Supplier Packaging Home Appliances Blow Molding Extrusion Injection Molding Nonlinear Material Models Moldflow Composites Presentations Gels Oils/Lubricants Waxes

Handbook for Plastics Analysis

This book covers some of the most significant techniques used in modern analytical technology to characterize plastic and composite materials. full post

Plastics Rubbers Foams Composites

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

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. full post

Mechanical Plastics Structural Analysis Composites Book Review