A material’s properties are strongly linked to its microstructure, such as grain size, porosity, phase and non-metallic inclusions. Light microscopy is a powerful tool for evaluating a material’s microstructure, but extracting meaningful results using traditional image analysis can be challenging, especially for new materials or materials with multiple phases.
For instance, magnetic materials being developed for use in electric motors consist of complex structures. Segmentation of these structures in different phases can prove difficult with traditional image analysis techniques.
This webinar, featuring Tim Schubert, Materials Scientist at Materials Research Institute, Aalen, introduces a comprehensive solution for microstructure analysis and presents standardized techniques for metallography investigation. Learn how machine learning-based algorithms can be utilized to segment challenging images and help characterize functional materials and advanced metals.
Who should attend:
Webinar attendees will learn:
Attend the live webinar on Tuesday, September 25, at:
Interested, but have a scheduling conflict? Register to receive an on-demand link to watch later.
SelectScience runs 3-4 webinars a month across various scientific topics, discover more of our upcoming webinars>>