Mechanical properties and corrosion resistance of ultrafine grained austenitic stainless steel processed by hydrostatic extrusion
AT Krawczynska, W Chrominski, E Ura-Binczyk… - Materials & Design, 2017 - Elsevier
The material studied is a commercially available 316LVM stainless steel with an initial grain
size of 30 μm. To refine the microstructure down to the nanoscale, hot (at 1000° C) and room …
size of 30 μm. To refine the microstructure down to the nanoscale, hot (at 1000° C) and room …
Predicting Grain Orientations of 316 Stainless Steel Using Convolutional Neural Networks.
DK Suker, AR Abdo… - Intelligent Automation & …, 2024 - search.ebscohost.com
This paper presents a deep learning Convolutional Neural Network (CNN) for predicting
grain orientations from electron backscatter diffraction (EBSD) patterns. The proposed model …
grain orientations from electron backscatter diffraction (EBSD) patterns. The proposed model …