Integrating multi-camera DIC at MBDA
As part of its increasing competence in cutting-edge measurement techniques, MBDA has launched a process of testing and internal auditing of measurement resources by multi-camera DIC (Digital Image Correlation). After testing these measurement tools on coupon-type test campaigns, a new stage has been launched with the testing of this technology on more complex structures using multi-camera systems. Compressive…
Crash-test and image correlation: how to measure seat deformations and follow the dummy’s movements
Crash-tests are a crucial step in the development and certification of products, especially for the automotive, aeronautical and railway industries. These tests simulate collision or impact scenarios in order to evaluate the resistance and safety of products. Among the equipment used to perform these tests is the reverse catapult, which is a device that projects…
Simulation correlation with Abaqus: how far we’ve come in linking a solver to our software environment
Need to perform correlation between an Abaqus simulation model and measurements automatically? Whether it is by developing a python script, actually using the C++ API or developing our parsers, we have experimented a lot with reading and writing formats related to this solver, whether it is to correlate displacement or deformation fields, or simply strain…
Mechanical regularization in EikoTwin DIC
In EikoTwin DIC, the calculation of displacement fields is performed on the simulation mesh. However, as this mathematical problem is by nature ill-posed, there is a mechanical regularization parameter that allows the user to add mechanical conditions to the field measurements. Contrary to most digital image correlation software, at EikoSim we have chosen to use…
Digital image correlation for crack measurement
In the context of crack propagation tests on composite material, EikoTwin image correlation solutions were used to meet a customer need. A post-processing script, exploiting the measurement data from EikoTwin DIC, was developed by EikoSim to bring satisfaction to the customer with a tailor-made solution. This work is part of Paul Nicolino’s engineering internship at…
Sources of measurement errors with digital image correlation
By Clara Minguet, Research engineer at EikoSim 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…
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…
Technical functionality: selection of the measurement mesh
By Clara Minguet and Lucas Angénieux, Research engineers at EikoSim On EikoTwin DIC, the measurements are directly expressed on the simulation mesh. In order to choose which areas of interest for the test are visible to the camera(s), the so-called measurement mesh must first be selected. Indeed, this mesh will be the one where the…
Measurement errors and digital image correlation
By Pierre Baudoin, R&D engineer at EikoSim When conducting a test campaign instrumented by digital image correlation, it must be possible to determine the characteristic measurement error for the quantities of interest studied (measured displacement or strain). This analysis is essential to know whether the measurement made is indeed the desired “signal” and not the…
What are good Digital Image Correlation test practices?
By Floriane Soulas, R&D engineer at EikoSim Importance of a good implementation of digital image correlation tests When performing a test by using Digital Image Correlation (DIC), many parameters must be taken into account: brightness, speckle pattern, camera placement. All these steps are essential to achieve the best possible images, in order to get the maximum…
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