CMU Researchers Propose A Computer Vision-Based Approach With Data-Frugal Deep Learning To Optimize Microstructure Imaging

Materials processing is the process of turning raw materials into final items through a sequence of phases or “unit operations.” The activities entail a series of industrial processes, including various mechanical and chemical methods, which are often carried out in big numbers or batches.

Material processing required extensive analysis and classification of complicated microstructures for quality control. For example, the proportion of lath-type bainite in various high-strength steels affects the material’s characteristics. However, recognizing bainite in microstructural images takes time …

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