Virtual test set-up
Hardware connection
Model-based image
processing
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
Applications and tutorials
Thermal plugins from the EikoTwin suite
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…
RELEASE NOTES EIKOTWIN SUMMER 2021
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…
White paper – simulation validation with DIC
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…
Sources of measurement errors with digital image correlation
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…
Camera calibration: principles and procedures
The use of a multi-camera system for metrology and accurate measurements requires the calibration of these cameras. They can be represented mathematically by a projection model, in the form of a matrix, allowing the passage of the position of 3D points to their projection in 2D image space. The process of estimating the parameters of…
EikoTwin DIC and the measurement of small strains
Innovation in the automotive industry Innovation is at the heart of the automotive industry: autonomous vehicles, shared mobility, advanced equipment, etc. In order to reinvent themselves and remain competitive, it is necessary for automotive industries to innovate and develop new technologies. It is therefore essential for these companies to perform realistic simulations. The objective is…
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