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…
EikoSim Joins the Altair Partner Alliance to Increase Its Footprint Among Simulation Customers
By Florent Mathieu, Ceo of EikoSim EikoSim today announced that it has become a member of the Altair Partner Alliance (APA), to provide its image analysis and simulation validation tools to Altair simulation software customers. This partnership came together after EikoSim’s efforts to develop compatibility between its EikoTwin software and Altair’s simulation suite, giving Altair customers…
EikoTwin Virtual: a support tool for the preparation of your virtual tests with Blender
By Clara Minguet, Research engineer at EikoSim The first stable version of the blenDIC add-on has been released. It is a photo-realistic image generation tool for setting up and performing virtual tests involving digital image correlation using the open source 3D animation software Blender. BlenDIC is an open source (GPL) add-on to Blender that encapsulates a…
Hybrid calibration : a robust alternative to self-calibration
By Pierre Baudoin, R&D engineer at EikoSim Introduction This article is written as a complement to the article on good calibration practices recently published on our website. In general, it is very often possible to calibrate the camera system in EikoTwin DIC thanks to the knowledge of the geometry of the part, and of the…
Speckle pattern size: how to calculate it for your DIC test?
By Floriane Soulas, R&D engineer at EikoSim In a previous article, we discussed how to choose the size of the speckle pattern for your experiment. We introduced the necessary parameters to control in order to optimize the size of your speckle for each of your tests. As mentioned, although the quality of a speckle pattern…
Mastering self-calibration of cameras with EikoTwin DIC
By Lucas Angénieux, Research engineer and Pierre Baudoin, R&D engineer at EikoSim To provide accurate Digital Image Correlation (DIC) results, the EikoTwin DIC software must first calibrate the camera system. The use of the part under study as a reference allows a self-calibration of the cameras, specific to EikoTwin DIC. This is made using images…
Design and validation of laser impact tests
By Clara Minguet, Research engineer at EikoSim ALPhANOV, optics and lasers technology centre based in Talence since 2007, and MBDA, European leader in the Defence sector, have had a joint laboratory since 2019 for laser-matter interaction comprised of a cabin equipped with a high-power infra-red source. Thanks to a flexible and durable architecture, complex experiments,…
High-temperature tests for ceramic matrix composites
By Myriam Berny, R&D engineer at EikoSim As a new member of EikoSim team, I was offered the opportunity to present an overlook of my thesis work dealing with high-temperature experiments for SiC/SiC composites, which was carried out in LMT under the supervision of F. Hild and in collaboration with Safran Ceramics under the supervision…
What is a good speckle pattern DIC?
By Clara Minguet, Research engineer at EikoSim Concerned about making a new speckle pattern for you DIC experiment? In another article, we talked about the different techniques for creating a speckle pattern in digital image correlation, including the ability to vary the size and nature of the spots projected on the piece. But what size should…
How to make a speckle pattern suitable for Digital Image Correlation?
By Floriane Soulas, R&D engineer at EikoSim Context The principle of image correlation is based on tracking information from a so-called “reference” image in the following images, often called “distorted images”. All of the images form a film, from which we seek to extract a measure. We can therefore see the correlation of images as following…
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