Quantification and Simulation of Microstructures and Properties

Tuesday, October 17, 2023: 10:30 AM-11:50 AM
331 ABC (Huntington Convention Center)
Various technologies in data analysis involving microstructures from classical approaches to Machine Learning. Mr. Michael Engstler, Saarland University, Dr. Dominik Britz, Material Engineering Center Saarland, Mr. Chris Marvel, Lehigh University and Mr. Johnathon Richard Brehm, Sandia National Laboratories
10:30 AM
A guide to using ASTM E562 Standard Test Method for Determining Volume Fraction by Systematic Manual Point Count
Mr. Gabriel M. Lucas, Scot Forge Company; Mr. Brian A. Battle, Scot Forge Company
10:50 AM
Correlative microscopy meets machine learning - An approach for a combined microstructure quantification from microscopic images and EBSD data utilizing ML-based analysis
Mr. Martin Müller, Saarland University; Dr. Dominik Britz, Material Engineering Center Saarland; Prof. Frank Mücklich, Saarland University
11:10 AM
Investigation of stress corrosion cracking in CMSX-4 turbine blade alloys using Deep Learning assisted X-ray microscopy and using 3D images for finite element modelling
Mr. Andy Holwell, Carl Zeiss Microscopy Ltd
11:30 AM
Machine Learning Models Pre-trained on MicroNet Show Improved Segmentation and Microstructure Quantification
Dr. Joshua Stuckner, NASA Glenn Research Center
See more of: Characterization of Materials and Microstructure through Metallography, Image Analysis, and Mechanical Testing - Fundamental and Applied Studies
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