A5100705567- Nanofluid Flow and Heat Transfer
- High-Velocity Impact and Material Behavior
- Vibration Control and Rheological Fluids
- Fluid Dynamics and Turbulent Flows
- Coastal and Marine Dynamics
- Lattice Boltzmann Simulation Studies
- Energetic Materials and Combustion
- Hydraulic and Pneumatic Systems
- Fluid Dynamics and Vibration Analysis
- Optimization and Packing Problems
- Neural Networks and Applications
- Scheduling and Optimization Algorithms
- Analytical Chemistry and Sensors
- Nanoplatforms for cancer theranostics
- Heat transfer and supercritical fluids
- Transportation Safety and Impact Analysis
- Maritime Navigation and Safety
- Heat Transfer Mechanisms
- Seismic Performance and Analysis
- Topology Optimization in Engineering
- Nanopore and Nanochannel Transport Studies
- Artificial Intelligence in Games
- Parallel Computing and Optimization Techniques
- Composite Structure Analysis and Optimization
- Solar Thermal and Photovoltaic Systems
Soochow University
2019-2020
South China University of Technology
2020
State Key Laboratory of Medicinal Chemical Biology
2018
Nankai University
2018
Dalian University of Technology
2012-2013
Shanghai Urban Transportation Design Institute (China)
2006
Xiaomi (China)
2006
University of Illinois Urbana-Champaign
1986
Purdue University West Lafayette
1986
A general technique that can be used to solve a wide variety of discrete optimization problems is the branch-and-bound algorithm. We have adapted and extended algorithms for parallel processing. The computational efficiency these depends on allowance function, data structure, search strategies. Anomalies owing parallelism may occur. In this correspondence, anomalies using same strategy as corresponding serial are studied. Sufficient conditions guarantee no degradation in performance due...
Enhanced heat transfer in nanofluids is mainly an effect of flow characteristics. In this article, we investigate the field SiO2/water using a single-phase model, Eulerian-Eulerian multiphase and Euler-Lagrange performing qualitative quantitative comparisons with experimental data. We find that chief microscopic mechanisms underlying microflow enhancement involve irregular micromotions nanoparticles intensified turbulence fluids. Of three models, model most accurate, least predictive, while...
Traditional photoluminescence resonance energy transfer (PRET)-based sensors are widely applied, but still suffer from the severe background interference in situ excitation. The afterglow nature of persistent luminescence nanoparticles (PLNPs) allows optosensing after stoppage illumination, and thus subtly overcomes that interference. We proposed a simple strategy for functionalizing PLNPs bioanalytical applications new (ARET)-based assay quantitative determination imaging fibroblast...
This work aims to establish the mathematical model with high effectiveness in predicting damping force of an MR damper nonmagnetized passages piston. The pressure drops due viscous loss, effect, and minor losses at inlet outlet are considered model. widely reported Bingham is adopted describe mechanical property fluid. behaviours experimentally evaluated under different excitations current. yield stress fluid respect current applied piston coil obtained by finite element analysis Ansoft...
The performance of parallel combinatorial OR-tree searches is analytically evaluated. This depends on the complexity problem to be solved, error allowance function, dominance relation, and search strategies. exact may difficult predict due nondeterminism anomalies parallelism. authors derive bounds with respect best-first, depth-first, breadth-first strategies, verify these by simulation. They show that a near-linear speedup can achieved large number processors for searches. Using developed,...
Maximum entropy principle (MEP) offers an effective and unbiased approach to inferring unknown probability distributions when faced with incomplete information, while neural networks provide the flexibility learn complex from data. This paper proposes a novel network architecture, MEP-Net, which combines MEP generate moment constraints. We also comprehensive overview of fundamentals maximum principle, its mathematical formulations, rigorous justification for applicability non-equilibrium...
The damping characteristics of a magneto-rheological damper featuring non-magnetized flow paths in the piston are analysed using Eyring constitutive model considering both viscous and minor hydraulic losses. force–displacement force–velocity with were experimentally evaluated under different excitations magnetic field intensity. Experimental results revealed relatively largerpre-yield-like region, attributed to flows through paths, which increased an increase coil current. A mathematical was...
Abstract：Sequence optimization of loading/unloading is a key technique for crane to realize the automatic and smart operation, improve operation efficiency.The analysis model conveyance constructed, environment cargo states are defined.Furthermore position information database built.The problem loading unloading sequence formulated, new search method suggested by limiting number searching objects in calculation minimum distance according practical crane.Consequently, an effective generation...
Abstract Two types of shaped charge comprised reactive material liner, which can generate exothermal reaction by certain external action, were designed to promote the aftereffect. One design contained two layers liners, form a short and wide explosive formed penetrator (EFP). The other three long thin EFP. composition is aluminum/polytetrafluoroethylene (AL/PTFE) mixtures. results numerical simulation experiments show that, for steel target with thickness 45 millimeter (mm), EFP generated...
This paper performs molecular dynamics simulations on flow and heat transfer process of nanofluids containing spherical nanoparticles with various diameters (2–6 nm). Instantaneous rotational velocity components in a field without temperature difference are outputted compared. Number density method is used to examine the thickness absorption layer. And by equally dividing fluid into 60 layers, distributions base examined. It was found that speed nanoparticle decreases an increasing diameter....
Strain rate sensitivity of polytetrafluoroethylene(PTFE) across strain range from 10-3 to 106 s-1 was investigated. For quasi-static state rates from10-3 10-1 s-1, the samples were tested using universal material testing machine. The values compression strength and Young’s Modulus calculated experimental results. And exponential fitting linear done data Modulus, respectively. results are compared with Zerillie-Armstrong model for polymers, which shows better agreement at large strains....