Posts by Team Eikosim
Digital Image Correlation : test your software’s efficiency
The quality of displacement fields measurements using Digital Image Correlation (DIC) depends on many factors which can be: Internal to the software (implementation of the algorithm, shape functions used for describing displacements, image interpolation method…); External to the software (quality of the speckle pattern, resolution of cameras, quality of calibration, …) In order to validate…
Read MoreDesigning a multi-camera structural test using pre-visualization
Written by Matthieu Vitse Matthieu Vitse is a freelance scientific visualization expert. He has a PhD in computational mechanics from ENS Paris-Saclay, and his main activity now focuses on the post-treatment and visualization of large complex data simulations and experiments. More info at www.sciviz.fr (from Vitse et al. Toward virtual design and optimization of…
Read MoreToward quantitative image analysis of Bird strike tests
Redactors : N. Cordero, F. Fremy, M.Beneck for Saint-Gobain, F. Mathieu for EikoSim Aircraft radomes produced by Saint-Gobain are made of composite materials. In addition to the usual design requirements that these structures must comply with (lightness, aerodynamic shape, impact resistance), they need to be RF transparent so that the systems they shelter may function. This…
Read MoreUnderstanding and controlling the sources of discrepancy between tests and simulations
Adjustment and validation of simulations Simulations play an enhanced role in the design, the qualification and the certification of industrial products by forming the basis of strategic decisions. Therefore, the role devolved to experimental testing has also been modified. These tests were the essential part of the demonstration of compliance, but now they become references…
Read MoreInstrumenting structural tests with imaging techniques: what benefits?
It is quite simple to assess the benefits of using digital image correlation. For test engineers, DIC makes it feasible to prospect a larger area, to better understand the physical phenomena at stake by using a non-intrusive measuring method. For engineers working on numerical simulations, it is now possible to validate their models using vaster…
Read MoreVirtual design of experiments with Blender
Blender as a supporting tool for 3D DIC experiments Have you ever heard of Blender? Blender is a comprehensive, open-source, cross-platform 3D creation suite that can be used to create photo-realistic renders, animations, or even full-length movies. Blender’s render engine can produce physically based photo-realistic renders of any 3D environment. In particular, it can be used…
Read MoreDigital Image Correlation – The basics
Digital Image Correlation (DIC) is a measurement technique that processes pictures taken from cameras to track and record the surface motion of a deforming solid. In the mechanical engineering field, it has been widely used to monitor and process test data in both research and industrial contexts, for applications ranging from common material testing to…
Read MoreThe digital twin: bringing the real world into your simulations
To estimate a structure’s mechanical behavior, proactive numerical studies have become common practice in mechanical engineering. Finite element modeling is now involved at all stages of the mechanical design project, from material behavior estimation (especially for composite materials), to intermediate assemblies, all the way up to structural computations. At each of the previous stages, simulations…
Read MoreDigital Image Correlation, how to choose its acquisition hardware?
We have already seen together the principles of digital image correlation (DIC) and the contributions of such measures. Today we will see how to choose its acquisition hardware so that it is adapted to the different use cases encountered. Image acquisition equipment means the cameras of course, but also the lenses, the lights, the mounting…
Read MoreTowards a better understanding of mechanicals tests thanks to DIC, with ALSTOM and CETIM
Consistency of simulation and test data The consistency of test data and numerical results is paramount while carrying out the simulation-experiment comparison required to validate numerical simulations. First of all, mechanical tests need to respect the specifications laid out during their design: sample geometry, load path, location and orientation of the loading point, measurement points…
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