A5043411404- Heat Transfer and Optimization
- Innovative Microfluidic and Catalytic Techniques Innovation
- Advanced Combustion Engine Technologies
- Combustion and flame dynamics
- Microfluidic and Capillary Electrophoresis Applications
- Electrowetting and Microfluidic Technologies
- Modular Robots and Swarm Intelligence
- Plasma and Flow Control in Aerodynamics
- Fluid Dynamics and Heat Transfer
- Wind and Air Flow Studies
- Advanced Materials and Mechanics
- Electrohydrodynamics and Fluid Dynamics
- Lattice Boltzmann Simulation Studies
- Fire dynamics and safety research
- Fluid Dynamics and Mixing
- Polydiacetylene-based materials and applications
- Surface Modification and Superhydrophobicity
- Fluid Dynamics and Thin Films
- Heat Transfer and Boiling Studies
- Photochromic and Fluorescence Chemistry
- Fluid Dynamics Simulations and Interactions
- Gas Dynamics and Kinetic Theory
- Heat Transfer Mechanisms
- Aerosol Filtration and Electrostatic Precipitation
- Microfluidic and Bio-sensing Technologies
North Carolina State University
2023-2025
Shiraz University
2017-2021
The spreading and rebound patterns of low-viscous droplets upon impacting spherical solid surfaces are investigated numerically. studied cases consider a droplet impinging onto hydrophobic superhydrophobic with various parameters varied throughout the study, their effects on postimpingement behavior discussed. These include impact Weber number (through varying surface tension impingement velocity), size ratio to surface, contact angle. According findings, maximum diameter increases velocity,...
Abstract While there are many droplet manipulation techniques, all of them suffer from at least one the following drawbacks – complex fabrication or equipment liquid loss. In this work, a simple and portable technique is demonstrated that enables on‐demand, contact‐less loss‐less droplets through combination contact electrification slipperiness. conjunction with numerical simulations, quantitative analysis presented to explain onset motion. Utilizing technique, polar non‐polar on different...
Object tracking in microscopy videos is crucial for understanding biological processes. While existing methods often require fine-tuning algorithms to fit the image dataset, here we explored an alternative paradigm: augmenting time-lapse dataset algorithm. To test this approach, evaluated whether generative video frame interpolation can augment temporal resolution of and facilitate object multiple contexts. We systematically compared capacity Latent Diffusion Model Video Frame Interpolation...
Color morphing refers to color change in response an environmental stimulus. Photochromic materials allow light, but almost all photochromic suffer from degradation when exposed moist/humid environments or harsh chemical environments. One way of overcoming this challenge is by imparting shielding the via superomniphobicity. However, simultaneously and superomniphobicity, both surface properties, requires a rational design. In work, we systematically design surfaces with superomniphobicity...
Abstract An optimized planar micromixer has been employed to study its performance in mixing liquids with various rheological behaviours. This design takes advantage of a number passive techniques, including split‐and‐recombination the channel, contraction and embedding diamond‐shaped obstacles main channels. Three‐dimensional Navier‐Stokes equations, along an advection‐diffusion model are solved by means finite‐element scheme. Numerical simulations performed for species power law indexes...
Thermal performance enhancement of microchannel heat sinks for electronics cooling is becoming more and necessary. To this end, microchannels with noncircular cross-sections conveying immiscible droplets have been employed in study geometric manipulations are applied to enhance fluid mixing consequently achieve a higher rate removal. Three-dimensional numerical simulations performed using volume method channels 100 µm hydraulic diameter. Constant wall temperature chosen as the boundary...
We develop a physics-informed neural network (PINN) to evaluate closure terms for turbulence and chemical source in the Sandia turbulent nonpremixed flames. The approach relies on temperature, major species, velocity point measurements transport of momentum thermo-chemical state, through principal components (PCs). PCs are derived using component analysis (PCA) implemented measured scalars. With solution PCs, number governing equations associated is reduced relative species temperature....