Aerospace Computational Engineering – Boeing 737

AFid is very useful for computational engineering processes where rules (such as mesh spacing) are associated to specific geometric shapes, even if they are not tagged or labelled in a model tree. In this example, over 700 mesh spacing rules (the colourful volumes of interest) are used repeatedly in a computational fluid dynamics (CFD) process for aerospace drag reduction in a commercial airliner. Based only on a point cloud generated via tessellation from a CAD geometry, AFid is able to correctly find and apply all of the rules in under 2 minutes – 120x faster than an engineer.

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