TUComp framework for modeling and analysis of composite materials based on X-ray microtomography
Résumé
Hereby presented is a TUComp suite of Python programs conceived to help in modeling and analysis of composite materials based on X-ray microtomographic scans. The approach combines existing libraries like WEKA learning algorithms library, Google’s TensorFlow for deep learning and Blender for 3D modeling with in-house developed algorithms based on implicit and dual kriging. The main applications of the system reach from the analysis of short fiber degeneration and identification of defects in manufacture with Resin Transfer Molding (RTM) to the automatic reconstruction of the realistic geometry of fibrous woven reinforcements to predict their permeability and behavior during compression.
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