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Simulation Validation Through the Prism of Optical Measurements: How to Effectively Leverage Large Amounts of Test Data

In order to develop mechanical products faster and reduce development costs, industries rely more on and more on simulations, following the Model-Based Systems Engineering (MBSE) strategy. But to build more confidence in more refined simulation models, these models have to be backed up by a lot more real-world data, in order to avoid large design margins.

This webinar is aimed at technical managers who think model validation should not inherently be a source of uncertainties and risks in the design process, and want to achieve costs and development time reduction by performing only the most relevant tests; engineers who need to build simulation credibility without spending most of their time processing strain gauge data and performing trial-and-error simulations.

All EikoTwin DIC Webinars

Bridge the Gap Between Tests and Simulation

Bridge the Gap Between Tests and Simulation

An Introductory webinar to EikoTwin DIC by EikoSim, available through the Altair Partner Alliance. EikoTwin DIC allows image processing (digital image correlation) based on the finite element (FE) mesh of your simulation. DIC is an image processing technique that allows users to measure displacements and strains of a structure during mechanical testing. Compared to strain gages and extensometers, DIC drastically increases the amount of information gathered and the ability for the user to understand the mechanical behavior of their structure. But traditional DIC software produce a measurement of displacement and strains of a cloud of points. Thus, users often have a hard time comparing experimental data with simulation results. EikoTwin DIC is simulation-oriented, which means these displacements and strains are directly measured from the images on the FE mesh. As a result, EikoTwin DIC directly compares these deformations to those predicted by numerical simulations. Through a single test, EikoTwin DIC users are able to understand immediately how to improve their simulations, thus avoiding trial and error and wasting time.

Webinars
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