- Cavitation Phenomena in Pumps
- Hydraulic and Pneumatic Systems
- Fluid Dynamics Simulations and Interactions
- Turbomachinery Performance and Optimization
- Water Systems and Optimization
- Fluid Dynamics and Heat Transfer
- Fluid Dynamics and Turbulent Flows
- Hydraulic flow and structures
- Geomechanics and Mining Engineering
- Oil and Gas Production Techniques
- Cyclone Separators and Fluid Dynamics
- Vibration and Dynamic Analysis
- Fullerene Chemistry and Applications
- Advanced Proteomics Techniques and Applications
- Rock Mechanics and Modeling
- Membrane Separation Technologies
- Smart Grid and Power Systems
- Advanced Fiber Laser Technologies
- Boron and Carbon Nanomaterials Research
- Hydrocarbon exploration and reservoir analysis
- Nuclear Engineering Thermal-Hydraulics
- Seismic Performance and Analysis
- Metal Alloys Wear and Properties
- Advanced Sensor and Control Systems
- Electromagnetic Launch and Propulsion Technology
Zhejiang Sci-Tech University
2016-2025
North University of China
2021-2025
Power Grid Corporation (India)
2024
Peking University
2023-2024
China Textile Academy
2024
Third Affiliated Hospital of Sun Yat-sen University
2024
Sun Yat-sen University
2015-2024
Sinopec (China)
2013-2024
Shengli Oilfield Central Hospital
2008-2024
First Automotive Works (China)
2024
We describe an algorithm for the automated statistical analysis of protein abundance ratios (ASAPRatio) proteins contained in two samples. Proteins are labeled with distinct stable-isotope tags and fragmented, tagged peptide fragments separated by liquid chromatography (LC) analyzed electrospray ionization (ESI) tandem mass spectrometry (MS/MS). The utilizes signals recorded different isotopic forms peptides identical sequence numerical methods, such as Savitzky−Golay smoothing filters,...
It is expected that the composition of serum proteome can provide valuable information about state human body in health and disease this be extracted via quantitative proteomic measurements. Suitable techniques need to sensitive, reproducible, robust detect potential biomarkers below level highly expressed proteins, generate data sets are comparable between experiments laboratories, have high throughput support statistical studies. Here we report a method for analysis proteins. consists...
There is an increasing interest in the quantitative proteomic measurement of protein contents substantially similar biological samples, e.g. for analysis cellular response to perturbations over time or discovery biomarkers from clinical samples. Technical limitations current platforms such as limited reproducibility and low throughput make this a challenging task. A new LC-MS-based platform able generate complex peptide patterns proteolyzed samples at high represents promising approach...
Cavitation is a challenging flow abnormality that leads to undesirable effects on the hydraulic behaviour of centrifugal pumps. This study analyses cavitating at normal rate using shear stress transport k-ω turbulence model and Zwart cavitation capture development spatial distribution vapour structures within pump. A general description pump head-drop phenomenon was analysed through local global fields. The relationship between entropy generation fields mainly investigated analysis method....
The characteristics of flow instabilities as well the cavitation phenomenon in a centrifugal pump operating at low rates were studied by experimental and numerical means, respectively. Specially, three-dimensional (3D) model was applied to simulate internal through suitably long portions inlet outlet ducts. As expected, proved occur over wide range rates, producing characteristic creeping shape head-drop curve developing form nonaxisymmetric cavities. occurrence these cavities, attached...
For the tip-leakage cavitating flow, existence of both interface and microbubbles at scales separated by orders magnitude makes it difficult to be comprehensively reproduced numerical modeling. This work aims develop a multiscale model that directly resolves large-scale cavities models small discrete bubbles. The volume fluid (VOF) method Schnerr–Sauer cavitation are first adopted represent phase field water vapor from macroscale point view. A bubble (DBM) based on Lagrangian formulation is...
Due to interstitial flow and medium heat transfer, canned motor pumps (CMPs) are more susceptible cavitation than other pumps. For CMP-driven liquid cooling systems, can reduce the transfer capability of system or even lead overheating failure. Therefore, it is necessary monitor status inside CMP. In response issues such as low computational efficiency weak anti-interference capabilities, a new recognition method proposed in this article. First, complete ensemble empirical mode decomposition...
Unstable or flat head-flow curves can cause problems in parallel operations systems. Despite the considerable efforts that have been devoted to study of curve instability single-stage centrifugal pumps with volute casing, such phenomenon is not sufficiently understood. In this study, we investigated variation hydraulic losses based on relationship between velocity distribution and entropy generation fields. Steady-state unsteady simulations were obtained for a pump an impeller outlet...
Purpose The purpose of this paper is to develop a preliminary model instructional leadership in the Chinese educational context and explore ways which school principals locate their instructional-leadership practices response traditional expectations requirements recent reforms. Design/methodology/approach In-depth interviews were conducted with 22 selected primary Shenzhen Guangzhou. A qualitative analysis was categorize major enacted by these principals. Findings An initial China six...
Numerical simulations of multiphase flows with both interfaces and discrete particles are challenging because they possess a wide range length time scales. Meanwhile, the volume fluid (VOF) method is suitable for resolving interface, while particle model (DPM) under Lagrangian frame better simulates unresolvable particles; multiscale VOF–DPM combined urgently needed flows. The present work implements solver that includes two-way transition algorithm to transformation between continuous...
Due to high power consumption and low energy efficiency of the hydrogenation feed multistage pump, conducting structural optimization design reducing losses for this pump is necessary. In study, an method based on particle swarm (PSO) algorithm least squares support vector regression (LSSVR) surrogate model proposed. The head are taken as objectives two impellers carried out. Through model, increased by 3.99% 2.91%, respectively. It found that optimized impeller has more stable flow...