A5021185346- Additive Manufacturing Materials and Processes
- Additive Manufacturing and 3D Printing Technologies
- Advanced Surface Polishing Techniques
- Advanced machining processes and optimization
- Manufacturing Process and Optimization
- Microstructure and mechanical properties
- Welding Techniques and Residual Stresses
- Advanced Machining and Optimization Techniques
- Metal and Thin Film Mechanics
- Industrial Vision Systems and Defect Detection
- High-Velocity Impact and Material Behavior
- Surface Treatment and Residual Stress
- Aluminum Alloys Composites Properties
- High Entropy Alloys Studies
- Metallurgy and Material Forming
- Laser-induced spectroscopy and plasma
- Advanced X-ray and CT Imaging
- Design Education and Practice
- Cellular and Composite Structures
- Tribology and Lubrication Engineering
- Advanced Battery Technologies Research
- Advanced materials and composites
- Flexible and Reconfigurable Manufacturing Systems
- Advanced Battery Materials and Technologies
- Engineering Technology and Methodologies
Georgia Institute of Technology
2016-2025
Université Bourgogne Franche-Comté
2025
Sandia National Laboratories California
2022
Woodruff Health Sciences Center
2022
AID Atlanta
2017
Google (United States)
2016
Pennsylvania State University
2011-2014
Marcus (United States)
2014
Purdue University West Lafayette
2007-2013
Materials Processing (United States)
2008-2011
Transformations at interfaces between solid-state electrolytes (SSEs) and lithium metal electrodes can lead to high impedance capacity decay during cycling of batteries, but the links structural/chemical/mechanical evolution electrochemistry are not well understood. Here, we use in situ X-ray computed tomography reveal mechanical damage within a Li1+xAlxGe2–x(PO4)3 (LAGP) SSE caused by interphase growth electrochemical cycling. The an with expanded volume drives fracture this material,...
A method for 3D printing of complicated structures using a photopolymer with high porosity was developed.
Artificial intelligence (AI) is a driving force behind Industry 4.0 in manufacturing. Specifically, machine learning has been applied to all parts of the manufacturing process: from product design optimization anomaly detection for quality control. Explainable AI (XAI) and interpretable (IAI) methods have developed provide transparency into how models make decisions. This survey presents thorough review who, what, when, where, why, both IAI XAI used Due multidisciplinary nature...
A novel, hand-held Reference Point Indentation (RPI) instrument, measures how well the bone of living patients and large animals resists indentation. The results presented here are reported in terms Bone Material Strength, which is a normalized measure indentation, inversely related to indentation distance into bone. We present examples instrument's use in: (1) laboratory experiments on bone, including through layer soft tissue, (2) three human clinical trials, two ongoing Barcelona at Mayo...
The role of nanotwin lamellae in enhancing thermal stability nanostructured materials is examined. Nanostructured copper with varying densities twins was generated by controlling the deformation strain rate during severe plastic at cryogenic temperatures. While produced under conditions are characteristically unstable even room temperatures, their markedly improved when a dense dispersion nanotwins introduced. Observations pinning grain and subgrain structures suggest an interfacial...
This paper proposes a classification scheme for performance metrics smart manufacturing systems. The discussion focuses on three such metrics: agility, asset utilization, and sustainability. For each of these metrics, we discuss themes, which then use to develop generalized scheme. In addition the conceptual model that may form basis information necessary evaluations. Finally, present future challenges in developing robust, performance-measurement systems real-time, data-intensive enterprises.