|About this Abstract
||2023 TMS Annual Meeting & Exhibition
||Quantifying Microstructure Heterogeneity for Qualification of Additively Manufactured Materials
||Large-scale image analysis of melt pools in complex additively manufactured artifacts
||Guangyu Hu, Hunter C. Taylor, Ryan B. Wicker, Marat I. Latypov
|On-Site Speaker (Planned)
Investigation of melt pools can provide insights into the complex heat transfer and solidification phenomena that determine the microstructure and properties of additively manufactured metal parts. In this work, we carry out large-scale image processing and computer vision of optical images of metallographic sections from complex 3D printed artifacts. We first identify melt pools in the images and then investigate their spatially resolved size and morphology distributions. Statistical description of melt pool size and morphology as well as their heterogeneities provides quantitative foundation for establishing relationships with part geometry, microstructure, and in situ monitored process data. The results can also serve as a valuable dataset for qualification efforts as well as calibration and verification of multiphysics models for metal additive manufacturing.
||Additive Manufacturing, Characterization, Machine Learning