Carnegie Mellon University
November 06, 2019

Webler & Holm take a closer look at steel using computer vision

Professor Bryan Webler and MSE colleague Professor Liz Holm have turned to computer vision and machine learning techniques to study steel inclusions, hoping to make characterizing the microscopic particles faster and less expensive. They shared their initial findings at the 2019 conference of the Association for Iron & Steel Technology.

Read the full article: https://engineering.cmu.edu/news-events/news/2019/11/15-webler-industrial-heating.html
 
 
Initial publication: https://www.industrialheating.com/articles/95278-bringing-machine-learning-to-nonmetallic-inclusions-in-steelmaking