A5101457435- Nanofluid Flow and Heat Transfer
- Combustion and Detonation Processes
- Combustion and flame dynamics
- Fire dynamics and safety research
- Energetic Materials and Combustion
- Heat Transfer and Optimization
- Engineering Diagnostics and Reliability
- Heat Transfer Mechanisms
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Refrigeration and Air Conditioning Technologies
- Orbital Angular Momentum in Optics
- Radiative Heat Transfer Studies
- Advanced Combustion Engine Technologies
- Rocket and propulsion systems research
- Advanced Thermodynamics and Statistical Mechanics
- Fluid Dynamics and Turbulent Flows
- Heat transfer and supercritical fluids
- Power Transformer Diagnostics and Insulation
- Petroleum Processing and Analysis
- Advanced Sensor Technologies Research
- Risk and Safety Analysis
- Near-Field Optical Microscopy
- Modeling, Simulation, and Optimization
- Machine Fault Diagnosis Techniques
- Aerodynamics and Acoustics in Jet Flows
Harbin Engineering University
2014-2024
Princeton University
2018-2020
Tianjin University
2016-2017
To effectively predict the thermal conductivity and viscosity of alumina (Al2O3)-water nanofluids, an artificial neural network (ANN) approach was investigated in present study. Firstly, using a two-step method, four Al2O3-water nanofluids were prepared respectively by dispersing different volume fractions (1.31%, 2.72%, 4.25%, 5.92%) nanoparticles with average diameter 30 nm. On this basis, above analyzed experimentally under various temperatures ranging from 296 to 313 K. Then radial basis...
In this article, a novel artificial neural network integrating feed-forward back-propagation with Gaussian kernel function is proposed for the prediction of compressor performance map. To demonstrate potential capability approach typical interpolated and extrapolated predictions, other two classical data-driven modeling methods including support vector machine are compared. An assessment performed discussed on sensitivity different models to number training samples (48 samples, 32 18...
Considering the potential applications of continuously rotating detonation (CRD) combustors in gas turbines, this paper performed a numerical investigation into pressure gain performance CRD combustors, using methane–air as reactive mixture and under operating conditions micro turbine. To analyze formation process waves, variation characteristics several typical thermodynamic parameters involving thermal efficiency, ratio, available energy loss were discussed terms time space scales....
In this study, a radial basis function (RBF) neural network with three-layer feed forward architecture was developed to effectively predict the viscosity ratio of different ethylene glycol/water based nanofluids. A total 216 experimental data involving CuO, TiO2, SiO2, and SiC nanoparticles were collected from published literature train test RBF network. The parameters including temperature, nanoparticle properties (size, volume fraction, density), base fluid selected as input variables...
Intercooled cycle gas turbine has great potential in improving the output power because of low energy consumption high-pressure compressor. In order to more efficiently recovery and utilize waste heat intercooled system, an organic Rankine generation system is developed replace traditional this study. Considering effects different kinds working fluids, thermodynamic performance investigated detail. On basis, sensitivity analyses some key parameters are conducted study operating improvements...
Performance degradation forecast technology for quantitatively assessing states of aeroengine using exhaust gas temperature is an important in the health management. In this paper, a GM (1, 1) Markov chain-based approach introduced to by taking advantages model time series and chain dealing with highly nonlinear stochastic data caused uncertain factors. approach, firstly, used trend limited samples. Then, integrated into order enhance performance, which can solve influence random fluctuation...
Aiming at the rapid mobility of marine gas turbine and dynamic time-delay problem intercooler for intercooled cycle turbine, simulation model was set up based on effectiveness-number transfer units (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>ε</mml:mi></mml:mrow></mml:math>-NTU) lumped parameter method in this paper. The comprehensively considers related physical properties dependent temperature. Dynamic response characteristics outlet temperature...
The intercooled gas turbine obtained by adopting an indirect heat exchanger into existing is one of the candidates for developing high‐power marine power units. To simplify such a strong coupled nonlinear system reasonably, feasibility and availability qualifying equivalent effectiveness as only parameter to evaluate intercooler behavior are investigated. Regarding additional degree freedom, steady state model developed its off‐design performance analyzed. With comprehensive considerations...