A5067836572- Additive Manufacturing Materials and Processes
- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Additive Manufacturing and 3D Printing Technologies
- Advanced materials and composites
- Advanced Battery Materials and Technologies
- Aluminum Alloy Microstructure Properties
- Advanced ceramic materials synthesis
- Solidification and crystal growth phenomena
- Intermetallics and Advanced Alloy Properties
- Metal and Thin Film Mechanics
- Titanium Alloys Microstructure and Properties
- Extraction and Separation Processes
- Reservoir Engineering and Simulation Methods
- Seismic Imaging and Inversion Techniques
- Aluminum Alloys Composites Properties
- High Entropy Alloys Studies
- Metallurgy and Material Forming
- Computational Physics and Python Applications
- Geomagnetism and Paleomagnetism Studies
- Fuel Cells and Related Materials
- Recycling and Waste Management Techniques
- Enhanced Oil Recovery Techniques
- Supercapacitor Materials and Fabrication
- Microstructure and mechanical properties
University of Michigan–Dearborn
2020-2024
Michigan United
2023
Mississippi State University
2018-2021
Sichuan University
2015
The presence of various uncertainty sources in metal-based additive manufacturing (AM) process prevents producing AM products with consistently high quality. Using electron beam melting (EBM) Ti-6Al-4V as an example, this paper presents a data-driven framework for parameters optimization using physics-informed computer simulation models. goal is to identify robust condition that allows us constantly obtain equiaxed materials microstructures under uncertainty. To overcome the computational...
Solid-state direct metal laser sintering (S-DMLS) builds structures by using energy to sinter powder particles in a layer-by-layer manner. Powder size distribution (PSD) is an important parameter governing the densification of powders and overall quality as-built S-DMLS parts. Therefore, this work aims reveal underlying mechanism compact during with different PSDs via multi-scale computational framework: 1) powder-based 3D heat transfer simulation conducted predict thermal response at...
Abstract The emerging field of direct recycling for spent Li-ion batteries offers significant advantages, such as reduced energy expenses and minimized secondary pollution, when compared to traditional pyrometallurgical hydrometallurgical methods. This is due its utilization the cathodes raw materials. However, efficient harvesting cathode particles remains a challenge. To address this issue, technical brief first incorporate resonant acoustic vibration technology (RAV) an method stripping...
There is a compelling need for the regression capability of mapping initial field and applied conditions to evolved field, e.g., given current flow fluid properties predicting next-step field. Such can provide maximum full substitute physics-based model, enabling fast simulation various evolvements. We propose conceptually simple, lightweight, but powerful multi-input convolutional network (ConvNet), yNet, that merges signals by manipulating high-level encodings field/image input. yNet...
By tuning the composition of non-solvent bath used in induced phase inversion process for fabricating thick and low-tortuosity battery electrodes, optimal electrochemical performances compressive modulus were achieved.
Abstract Solid‐state batteries (SSBs) struggle with poor interface contact and the resulting fast dendrite growth short circuits. Ultrasonic treatment offers a potential solution to heal SSBs by ultrasonic welding at room temperature improve free from side reactions. A significant challenge is adverse effect of ultrasonics on SSBs, such as severe cracking in brittle electrolytes increasing risk Inspired patients hospitals, tempo‐spatial manipulation (TSMU) examined, guided...
Abstract The cathode is the most valuable battery component rich in precious metals and, thus, leading recycling target spent lithium-ion batteries. In particular, emerging development of direct techniques requires non-destructive as feedstock; however, posing a challenge to effectively strip powders without destroying structure after disabling binders. this study, we compare four stripping methods, including solvent dissolution & magnetic stirring, sonication, heat treatment...
The capability of multi-input field-to-field regression, i.e. mapping the initial field and applied conditions to evolved field, is appealing, enabling ultra-fast physics-free simulation various evolvements across many disciplines. We hereby propose a y-shaped deep convolutional network, yNet, which can effectively account for combined effects multiple mixed inputs on output field. proposed yNet porosity evolution in selective lasering sintering (SLS). Upon testing, simulate nearly identical...