A5067319570- Infrastructure Maintenance and Monitoring
- Numerical methods in engineering
- Composite Material Mechanics
- Advanced Numerical Analysis Techniques
- Surgical Simulation and Training
- Epoxy Resin Curing Processes
- Polymer Nanocomposites and Properties
- Silicone and Siloxane Chemistry
- Soft Robotics and Applications
- Graphite, nuclear technology, radiation studies
- Mechanical Behavior of Composites
- Industrial Vision Systems and Defect Detection
- Advanced ceramic materials synthesis
- Anatomy and Medical Technology
- Nuclear and radioactivity studies
- Nuclear Materials and Properties
- Orthopaedic implants and arthroplasty
Pennsylvania State University
2019-2023
Abstract This work presents an approach for automating the discretization and approximation procedures in constructing digital representations of composites from micro-CT images featuring intricate microstructures. The proposed method is guided by Support Vector Machine (SVM) classification, offering effective discretizing microstructural images. An SVM soft margin training process introduced as a classification heterogeneous material points, image segmentation accomplished identifying...
Medical simulation training is widely used to effectively train for invasive medical procedures such as peripheral nerve blocks. Traditionally, accurate haptic relies on expensive cadavers, manikins, or advanced robots. Proposed herein a novel concept called the low-cost force needle insertion simulator (LCNIS), which uses material fracture inside disposable cartridges accurately replicate of inserting into tissue. Cadaver and experiments were performed develop determine accuracy LCNIS. The...
Stress distributions and the corresponding fracture patterns evolutions in microstructures strongly influence load-carrying capabilities of composite structures. This work introduces an enhanced phase-field model incorporating interface decohesion to simulate propagation interactions at material interfaces within constituents microstructures. The proposed method employs interface-modified reproducing kernel (IM-RK) approximation for handling cross-interface discontinuities constructed from...
This work presents an approach for automating the discretization and approximation procedures in constructing digital representations of composites from Micro-CT images featuring intricate microstructures. The proposed method is guided by Support Vector Machine (SVM) classification, offering effective discretizing microstructural images. An SVM soft margin training process introduced as a classification heterogeneous material points, image segmentation accomplished identifying support...