A5032297083- Additive Manufacturing Materials and Processes
- Additive Manufacturing and 3D Printing Technologies
- Electron and X-Ray Spectroscopy Techniques
- Thermography and Photoacoustic Techniques
- Advanced Statistical Methods and Models
- Machine Learning in Materials Science
- Industrial Vision Systems and Defect Detection
Case Western Reserve University
2024
Abstract Phase transformations are a challenging problem in materials science, which lead to changes properties and may impact performance of material systems various applications. We introduce general framework for the analysis particle growth kinetics by utilizing concepts from machine learning graph theory. As model system, we use image sequences atomic force microscopy showing crystallization an amorphous fluoroelastomer film. To identify crystalline particles matrix track temporal...
Abstract Metal-based additive manufacturing requires active monitoring solutions for assessing part quality. Multiple sensors and data streams, however, generate large heterogeneous sets that are impractical manual assessment characterization. In this work, an automated pipeline is developed enables feature extraction from high-speed camera video multi-modal analysis. The framework removes the need through utilization of deep learning techniques training models in a weakly supervised...