Figure 2 – Wing and support frame, as modelled in Abaqus (a) and Blender (b), and as rendered before (c) and after bending (d)Īfter a quick reformating, the FE meshes were imported in Blender (fig. We can introduce this loading in Abaqus (fig.2a), and assuming its behavior to be linear elasticity, we can compute the displacement fields for a 2.5 mm displacement exerted near the tip of the wing. Let’s say we want to carry out a bending test on our wing model (fig.2). To cite but a few parameters, this approach can be used to evaluate the influence of lens distorsion, and speckle pattern shape and size on measurement accuracy.Ī simple example based of a test preview in Blender with an elastic simulation Blender is very useful when it comes to extending this approach to 3D measurements, because handling 3D texture deformation is one of its core features. For 2D-DIC, it is common to evaluate the precision of an algorithm using virtual tests on digital images. In anticipation of the actual experiment, this approach is interesting because it lets us test the influence of many parameters on the measurement accuracy. We can then use the displacements fields produced by a finite element simulation to deform the mesh in Blender and generate renders of the deformed part (fig.1). Textured meshes can be deformed in Blender, all the user needs to provide is a node-by-node displacement field. If we have a rough estimate the constitutive model of our test sample and boundary conditions, we can even go a little further in the pre-visualization of the test. Virtual testing: combining Blender with finite element simulations Once the parts have been textured and the cameras positioned, Blender can generate realistic renders of the camera images.įollowing the previous steps before any real-world experiment allows to verify the feasibility of any experimental test, and to adapt the choice of equipment (camera, lenses, lighting, etc.) if required. To minimize measurement uncertainty, the automation of camera positioning can also be considered. Blender’s fine-tuned camera management allows to anticipate experimental fields of view (FOVs) with accuracy. Once the part mesh has been imported in Blender, a realistic texture must be applied to the part mesh. The part should be converted to a 3D surface mesh before importing (e.g. This can be done using any CAD software, or Blender itself. In this context, the typical workflow consists in the following 4 steps: In particular, it can be used for the virtual design of experiments simply using CAD files, as shown by LMT researchers (ENS Paris-Saclay, France) in. Blender’s render engine can produce physically based photo-realistic renders of any 3D environment. Have you ever heard of Blender to preview a mechanical test? 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. By Pierre Baudoin, R&D engineer of EikoSimīlender as a supporting tool for 3D DIC tests.
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