A5086088239- Industrial Vision Systems and Defect Detection
- Additive Manufacturing and 3D Printing Technologies
- Machine Learning in Materials Science
- Additive Manufacturing Materials and Processes
- AI-based Problem Solving and Planning
- Digital Image Processing Techniques
- Topology Optimization in Engineering
- X-ray Diffraction in Crystallography
- Biomedical Text Mining and Ontologies
- Advanced Cellulose Research Studies
- Composite Material Mechanics
- Fault Detection and Control Systems
- Composite Structure Analysis and Optimization
- Force Microscopy Techniques and Applications
- Electron and X-Ray Spectroscopy Techniques
- Microstructure and Mechanical Properties of Steels
- Metallurgy and Material Forming
- Polysaccharides and Plant Cell Walls
- Non-Destructive Testing Techniques
- Recycling and Waste Management Techniques
- Manufacturing Process and Optimization
- Integrated Circuits and Semiconductor Failure Analysis
Georgia Institute of Technology
2019-2024
We develop an active workflow for calibrating microstructure–property relationships when a large dataset of microstructures is available, but the cost associated with evaluating properties high.
This paper presents a generalized framework for the digital generation of composite microstructures using filter-based approaches that can devise and utilize wide variety cost functions reflecting desired targets on geometrical statistical measures. The use leads to remarkable computational advantages compared conventional used currently microstructure generation. provides highly modular flexible approach generate stochastic ensembles meeting user-defined microstructural characteristics....