Xianghao Zheng

ORCID: 0000-0002-3410-4663
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About
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Research Areas
  • Cavitation Phenomena in Pumps
  • Hydraulic and Pneumatic Systems
  • Oil and Gas Production Techniques
  • Water Systems and Optimization
  • Integrated Energy Systems Optimization
  • Vibration and Dynamic Analysis
  • Machine Fault Diagnosis Techniques
  • Fluid Dynamics and Mixing
  • Ultrasound and Cavitation Phenomena
  • Real-time simulation and control systems
  • Electric Power Systems and Control
  • Technology and Data Analysis
  • Hydraulic flow and structures
  • Material Properties and Failure Mechanisms
  • Flow Measurement and Analysis
  • Energy Load and Power Forecasting
  • Fluid Dynamics and Heat Transfer
  • Fluid Dynamics and Turbulent Flows
  • Global Energy and Sustainability Research
  • Probabilistic and Robust Engineering Design
  • Image and Signal Denoising Methods
  • Advanced Data Processing Techniques
  • Lattice Boltzmann Simulation Studies
  • Metallurgy and Material Forming
  • Fluid Dynamics and Vibration Analysis

Fuzhou University
2023-2024

North China Electric Power University
2017-2023

Wenzhou-Kean University
2023

The present paper investigates the dynamic behaviors of a bubble restricted by two parallel plates near an elliptical wall. typical experimental phenomena are recorded employing high-speed photography and theoretical Kelvin impulse model is established. impacts spatial position curvature wall on collapse quantitatively investigated through verified against results. intensity direction during process compared discussed for different elliptical-shaped walls. main conclusions include: (1)...

10.1016/j.ultsonch.2024.106915 article EN cc-by-nc Ultrasonics Sonochemistry 2024-05-17

Abstract During the spin-no-load mode, vibrational performance of reversible pump turbine is an important criterion for evaluation operational performances power station. In present paper, influences rotational speed variations on whole unit (including top cover, upper, and lower brackets) are experimentally investigated with discussions their sources propagation characteristics. According to levels dominant frequencies vibration signals obtained at cases different speeds could be divided...

10.1115/1.4045159 article EN Journal of Fluids Engineering 2019-10-09

In fluid machinery, the concurrent presence of cavitation bubbles and particle clusters leads to considerably damage material surfaces. This study investigates dynamics a bubble situated among triple particles based on Kelvin impulse model high-frame-rate photography, focusing impact dimensionless distance size. Specifically, jet, motion, interface evolution characteristics are quantitatively evaluated. The following conclusions obtained: (1) collapse shapes can be divided into three typical...

10.1063/5.0202129 article EN mit Physics of Fluids 2024-05-01

In the present paper, influences of load variations on pressure fluctuations especially in vaneless space a prototype reversible pump turbine are experimentally investigated generating mode. Original data obtained through on-site measurement further analyzed both time and frequency domains order to show propagation mechanism fluctuations. Our work reveals that dominant characteristic is blade passing (BPF, f*=1) between 52% 90% partial loads its harmonics (f*=2) 100% rated power,...

10.1088/1755-1315/240/8/082011 article EN IOP Conference Series Earth and Environmental Science 2019-03-27

As wind power develops by leaps and bounds, its uncertainty has posed huge challenges for operational planning integrated electricity-gas system (IEGS). An approach based on affine arithmetic (AA) optimal power-gas flow (OPGF) considering of is proposed. Based convex envelope, AA-based OPGF model developed without non-affine operations. Uncertain treated form keeping track relationships between uncertain variables. By introducing AA theory, can be converted into deterministic multi-objective...

10.1109/acpee56931.2023.10135762 article EN 2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) 2023-04-01

We try to predict the stock market using GAN model, which includes discriminator and generator. use MLP as predictor of uses Backpropagation. Besides, we Simon function monitor study model. Using have gotten graph three different companies in our paragraph. In addition, model figure know compare error with it is. Finally, formula calculate RMSE.

10.1109/icdsi60108.2023.00047 article EN 2023-08-12
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