A5100373644- Particle Dynamics in Fluid Flows
- Granular flow and fluidized beds
- Fluid Dynamics and Turbulent Flows
- Image Processing and 3D Reconstruction
- Heat Transfer and Boiling Studies
- Metamaterials and Metasurfaces Applications
- Advanced Antenna and Metasurface Technologies
- Covalent Organic Framework Applications
- Electromagnetic wave absorption materials
- Asymmetric Hydrogenation and Catalysis
- Heat Transfer and Optimization
- Fluid Dynamics Simulations and Interactions
- Adsorption and Cooling Systems
- Aerosol Filtration and Electrostatic Precipitation
- Computer Graphics and Visualization Techniques
- Engineering and Information Technology
- Lattice Boltzmann Simulation Studies
- Advanced Manufacturing and Logistics Optimization
- Catalytic C–H Functionalization Methods
- 3D Shape Modeling and Analysis
- Engineering Technology and Methodologies
- Heat and Mass Transfer in Porous Media
- Heat transfer and supercritical fluids
Xi'an Jiaotong University
2019-2024
Northeast Petroleum University
2018
The efficient conversion of a C-H bond in the polyether chain to other functional groups provides great opportunities for development novel applications many research fields. However, this field is quite underdeveloped due key challenge on controlling selectivity functionalization over cleavage. In work, we report controllable alkylation polyethers under mild conditions via photoinduced iron catalysis. level could be controlled by using different amounts alkenes and various reaction times,...
Abstract Direct numerical simulations are performed to study the effect of particle orientation on flows through fixed random arrays prolate ellipsoids at low Reynolds numbers. The Hermans factor and Beta distribution introduced quantify mean deviation particles. simulation results show that is profound especially when solid volume fraction aspect ratio large. With increase factors, drag force decreases flow follows a reference direction defined by average all particles' semi‐major axes,...
Abstract Through particle‐resolved direct numerical simulations of flows past random arrays oblate ellipsoids at low Reynolds numbers, this work demonstrates how the drag force on depends Hermans orientation factor S , mean crosswise sphericity φ ⊥ aspect ratio AR and solid volume fraction c . Wide ranges are considered they in intervals (−0.5, 1), (0.2, 0.8), (0.1, 0.4), respectively. This study extends prolate by Li et al (AIChE Journal, 2019, 65, e16621). Based simulation results, two...
Abstract Through particle‐resolved direct numerical simulations of flow past arrays ellipsoids, the hydrodynamic force on ellipsoids depends particle orientation, aspect ratio, Reynolds number, and solid volume fraction is revealed at moderate numbers. The results show that mean drag prolate/oblate decreases/increases as Hermans orientation factor increases when flows are in reference direction defined by average symmetric axis particles. individual a ellipsoid increases/decreases with...
Numerical study of forced convection heat transfer from arrays prolate particles is performed using the second-order Immersed Boundary-Lattice Boltzmann Method (IB-LBM). Prolate particle studied with aspect ratio 2.5 solid volume fraction variation 0.1 to 0.3. For each fraction, are generated and simulations have been calculate Nusselt number for four different Hermans orientation factors various Reynolds numbers. From simulation results, it has observed that, any specific value factor,...
Direct Numerical Simulations have been carried out to study the forced convection heat transfer of flow through fixed prolate particles for a variety aspect ratios ar = {5/4, 5/3, 5/1} with Reynolds number (Re) up 100. Three variations solid volume fraction c {0.1, 0.2, 0.3} four Hermans orientation factors S {−0.5, 0, 0.5, 1} are studied. It has found that changes in cause prominent Nusselt number. In general, increases decrease S. For all three ratios, remains linear function at different...
The heat transfer characteristic for a double-deck floating roof oil tank was investigated based on the test of surface temperature and flow in working conditions. profile generally appears an axial symmetry feature, dominated by thickness volatilization. clapboard truss enhance conduction which induces higher some local positions. maximum region between weir plate sidewall, while lowest is central part roof. Moreover, according to temperature, sidewall divided into two parts separated...
Understanding point clouds is of great importance. Many previous methods focus on detecting salient keypoints to identity structures clouds. However, existing neglect the semantics points selected, leading poor performance downstream tasks. In this paper, we propose Keypoint Autoencoder, an unsupervised learning method for keypoints. We encourage selecting sparse semantic by enforcing reconstruction from original cloud. To make keypoint selection differentiable, Soft Proposal adopted...