中文版 >>
Staff & Students
Home > English > Teacher's resume > Content
Administrative Staff
Teaching Staff
Student Leaders
 
Teacher's resume
 
Wang Wenjie
Date:2019-12-07  View:

Curriculum Vitae

  

  

Wang Wenjie

Doctor of Engineering

Assistant Professor

TEL: 15050850433

Email: wenjiewang@ujs.edu.cn

Location: Room 605, Research Center of Fluid Machinery Engineering and Technology, Jiangsu University

Biography

Fields of research:

  1. Automatic optimization of pumps bases on intelligent algorithms

  2. Transient simulation on pump-turbine

  3. Measurement on pump performance

  4. Transient flow characteristics of pump turbine

    Education and work experience:

    2018/5-now, Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Assistant Researcher

    2015/11-2017/11University of Padova,  Department of industrial engineering, joint doctoral candidate, supervisor : Giorgio  Pavesi

    2014/09-2017/12Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, successive postgraduate and doctoral programs of study, Power engineering and engineering thermophysics, doctor of engineering, supervisor: Yuan shouqi

    2012/09-2014/06Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Free of test, fluid machinery and engineering, master, supervisor: Yuan shouqi

    2008/09-2012/06, heat and power engineering (fluid machinery and its automatic control), college of energy and power engineering, jiangsu university, bachelor of engineering

    Main Publications:

  5. Wang W, Pavesi G, Pei J,et al. Transient simulation on closure of wicket gates in a high-head Francis-type reversible turbine operating in pump mode[J]. Renewable Energy, 2020, 145: 1817-1830.

  6. Wang W, Osman M K, Pei J, et al. Artificial Neural Networks Approach for a Multi-Objective Cavitation Optimization Design in a Double-Suction Centrifugal Pump[J]. Processes, 2019, 7(5): 246.

  7. Wang W, Pei J, Yuan S, et al. Experimental investigation on clocking effect of vaned diffuser on performance characteristics and pressure pulsations in a centrifugal pump[J]. Experimental Thermal and Fluid Science, 2018, 90: 286-298.

  8. Wang W, Yuan S, Pei J, et al. Optimization of the diffuser in a centrifugal pump by combining response surface method with multi-island genetic algorithm[J]. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2017, 231(2): 191-201.

  9. Wang W, Pei J, Yuan S, et al. Application of different surrogate models on the optimization of centrifugal pump[J]. Journal of Mechanical Science and Technology, 2016, 30(2): 567-574.

  10. Pei J, Wang W, Yuan S, et al. Optimization on the impeller of a low-specific-speed centrifugal pump for hydraulic performance improvement[J]. Chinese Journal of Mechanical Engineering, 2016, 29(5):  992-1002.

  11. Pei J, Wang W*, Osman M K, et al.  Multiparameter optimization for the nonlinear performance improvement of centrifugal pumps using a multilayer neural network[J]. Journal of Mechanical Science and Technology, 2019, 33(6): 2681-2691.

  12. Pei J, Wang W, Yuan S. Multi-point optimization on meridional shape of a centrifugal pump impeller for performance improvement[J]. Journal of Mechanical Science and Technology, 2016, 30(11): 4949-4960.

  13. Pei J, Wang W*, Pavesi G, et al. Experimental investigation of the nonlinear pressure fluctuations in a residual heat removal pump[J]. Annals of Nuclear Energy, 2019, 131: 63-79.

  14. Koranteng Osman M, Wang W*, Yuan J, et al.  Flow loss analysis of a two-stage axially split centrifugal pump with double inlet under different channel designs[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019: 0954406219843573.

  15. Pei J, Gan X, Wang W*, et al. Multi-Objective Shape Optimization on the Inlet Pipe of a Vertical Inline Pump[J]. Journal of Fluids Engineering, 2019, 141(6): 061108.

  16. Pei J,  Osman M K, Wang W*, et al. A Practical Method for Speeding up the Cavitation Prediction in an Industrial Double-Suction Centrifugal Pump[J]. Energies, 2019, 12(11): 2088.

  17. Pei J,  Osman M K, Wang W*, et al. Unsteady flow characteristics and cavitation prediction in the double-suction centrifugal pump using a novel approach[J]. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2019.


 
Copyright @ 2021 Research Center of Fluid Machinery Engineering and Technology
Adress : Jingkou District Zhenjiang province Jiangsu City Xuefu Road No. 301  Tel : 086-0511-88780280  Zip Code:212013