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Validation of Simulation Results Through Use of DIC Techniques 

by DatapointLabs6,169 views

It has long been desired to quantify the accuracy of simulation results. Through developments in digital image correlation (DIC) techniques, it is now possible to quantify the deviation between simulation and real life experimentation. In this paper, three-dimension DIC measurements of deformed parts are compared to deformed surfaces predicted in simulation. Using DIC, it is possible to import deformed surface elements from simulation and map the magnitude of deviation from the measurements of the actual deformed shape.

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ANSYSHigh Speed TestingNonlinear Material ModelsPresentationsStructural AnalysisValidation

Using Mid-stage Validation to Increase Confidence in Simulation of TPOs

by DatapointLabs6,169 views

Finite element analysis of plastics contains assumptions and uncertainties that can affect simulation accuracy. It is useful to quantify these effects prior to using simulation for real-life applications. A mid-stage validation uses a controlled physical test on a standardized part to compare results from simulation to physical experiment. These validations do not use real-life parts but carefully designed geometries that probe the accuracy of the simulation; the geometries themselves can be tested with boundary conditions that can be simulated correctly. In one study, a quasi-static three-point bending experiment of a standardized parallel ribbed plate is performed and simulated, using Abaqus. 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. In a second study, a dynamic dart impact experiment is validated using LS-Dyna probing the multi-axial deformation of a polypropylene until failure.

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AbaqusAutomotiveLS-DYNAMechanicalPlasticsPresentationsStructural AnalysisValidation

The Role of Materials in Simulation-Driven Product Development

by Hubert Lobo6,147 views

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.

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3D PrintingANSYSHyperelasticMaterealityMaterials Information ManagementMechanicalMetalsNonlinear Material ModelsPlasticsRubbersStructural AnalysisValidation

Development, implementation and Validation of 3-D Failure Model for Aluminium 2024 for High Speed Impact Applications

by Paul Du Bois6,145 views

FAA William J Huges Technical Center (NJ) conducts a research project to simulate failure in aeroengines and fuselages, main purpose is blade-out containment studies. This involved the implementation in LS-DYNA of a tabulated generalisation of the Johnson-Cook material law with regularisation to accommodate simulation of ductile materials.

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Aerospace and DefenseAutomotiveHigh Speed TestingLS-DYNAMechanicalMetalsPresentationsRate DependencyValidationYielding/Failure Analysis

Material Parameter Calibration Services for Abaqus Non-Linear Material Models

by DatapointLabs6,103 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

Structural Analysis of Thermoplastic Components: Book Review

by DatapointLabs6,094 views

The primary purpose of this book is to describe the application of modern engineering analysis techniques to the design of components fabricated from thermoplastic materials. The book, the first of its kind to address the unique behavioral characteristics of thermoplastics and their impact on finite element analysis (FEA), points out the need for plastics designers to move on to nonlinear analysis in order to truly simulate the behavior of plastic parts. According to the authors, the easy availability of high speed computing and efficient analysis codes means that it is no longer necessary nor cost-effective to restrict oneself to simple linear analyses.

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Book ReviewNonlinear Material ModelsPlasticsStructural AnalysisThermoforming