Development of an Open-Source Software Tool for Microstructure Analysis of Materials Using Artificial Intelligence

• DOI: 10.4028/p-vcog1h
• Publication Date: 2024-12-23T07:41:25Z
• Authors: Gia Khanh Pham; Kerim Yalcin; Azman Wan Asma N...; Anh Son Nguyen; Van Trung Trinh

Investigating the microstructures of materials with microscopy is a key task in quality assurance, development new materials, and optimization manufacturing processes. However, conventional image analysis often demands significant time for large volume images, predictions produced are commonly constrained. Applying deep learning, models can be trained to analyze material quickly greater accuracy. The objective this study provide method automatic segmentation microstructural images obtained from microscopes or scanning electron using Convolutional Neural Networks. For purpose, two software scripts were developed Python employing OpenCV fastai library. first script designed generate reference while second utilized training model predicting microstructure an image. test tools demonstrates that robust prediction results attainable by high-quality images. This tool has been made available as open-source on GitHub public use enhanced further if required.