Virtual test set-up

Hardware connection

Model-based image

processing

Eikotwin Digtal Twin X2

Reality-inspired simulations

EikoTwin Digital Twin

EikoTwin Digital Twin allows the engineer to improve their simulation by making the most of their test data.

It implements "augmented simulations", which use the measured data as boundary conditions, but also allows the identification of material parameters to bring the simulation closer to the expected result.

Principle

  • Integration of test results for the validation of simulations.
  • Import of sensor measurements and direct comparison with the simulation result.

Features

  • Use of measurements to enrich the simulation model.
  • Creation of measured boundary conditions to release idealized conditions.
  • Export of a simulation model enhanced with measurement information.

Results

  • Quantification of errors due to boundary conditions.
  • Automatic identification of the simulation parameters required (materials, etc.).
  • Determination of the residual model error.

Testimonials

IRT Saint Exupery

Using EikoTwin allowed us, through augmented simulation, to correct overly idealized boundary conditions, or to isolate regions of interest. The inverse identification proposed by Digital Twin also gave very promising results for reviewing the calibration and validation processes of the models by reducing the number of tests.

Ludovic Barrière

Project manager

Applications and tutorials

Safran Aircraft Engines trusts EikoSim with EikoTwin

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Julien Schneider is an expert at the Composites Industrial Center of Excellence at Safran Aircraft Engines, and he tells us about his experience with our software EikoTwin. What is EikoTwin? The EikoTwin software allows to implement a test/calculation dialogue during the development of industrial mechanical products. Based on innovative image processing technologies, EikoTwin aims at…

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Digital image correlation for automotive structures

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Context In the context of monitoring large-scale production automotive parts, many parts are subjected to repeated tests to ensure their integrity once they are put into service and bring image correlation to the automotive industry. Thus, the test that we address in this paper is dedicated to the “gust of wind” tests of an opening…

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Thermal plugins from the EikoTwin suite

Thermal Plugins EikoTwin

In order to meet the specific needs of customers and to extend the use of the EikoTwin software suite to other fields of activity, EikoSim has developed two new optional plugins: the DIC and DT thermal plugins. As their names suggest, DIC thermal plugin can be used in EikoTwin DIC software and DT thermal plugin…

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RELEASE NOTES EIKOTWIN SUMMER 2021

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The Summer 2021 release of the EikoTwin suite is available! Discover the details of the new features! On the menu of the EikoTwin Summer 2021 release, new functionalities for all the software of the suite, an optimized management of installations and licenses, as well as an online self-training module. Discover the details down below! Faster…

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White paper – simulation validation with DIC

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After 5 years of existence, and while in the permanent process of remodelling our offer and business model, we thought it would be a good time to summarize what we’ve understood of our industry and the key pain/value points we detected. We’re publishing the first parts on LinkedIn to get more feedback before we release the…

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Sources of measurement errors with digital image correlation

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In digital image correlation as in any measurement process, errors affect measured data. The characteristic of this method lies in the direct dependency between the test and the measurement error [1,2,3]. Indeed, errors need to be estimated for every new test. These errors can be classified in two categories: the bias corresponding to systematic errors…

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