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:
Automatic optimization of pumps bases on intelligent algorithms
Transient simulation on pump-turbine
Measurement on pump performance
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
2015/11-2017/11，University of Padova, Department of industrial engineering, joint doctoral candidate, supervisor : Giorgio Pavesi
2014/09-2017/12，Research 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
2012/09-2014/06，Research 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:
1.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.
2.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.
3.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.
4.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.
5.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.
6.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.
7.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.
8.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.
9.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.
10.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.
11.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.
12.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.
13.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.
