Results in Materials (Mar 2024)

Image regression analysis for linking the microstructure and property of steel

  • Kengo Sawai,
  • Ta-Te Chen,
  • Fei Sun,
  • Toshio Ogawa,
  • Yoshitaka Adachi

Journal volume & issue
Vol. 21
p. 100526

Abstract

Read online

An image regression analysis using a convolutional neural network (CNN) was conducted to correlate microstructural images with the mechanical properties of tempered martensitic steel. The proposed model could link the microstructure with a property without any manual feature extraction. To demonstrate the mechanism of the CNN−based image regression algorithm, its convoluted output was dimensionally reduced using uniform manifold approximation and projection (UMAP) and then plotted.

Keywords