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基本信息 The basic information
姓名: 王丁喜

学院: 动力与能源学院


学历: 博士研究生毕业

学位: 哲学博士


职称: 教授

职务:


学科: 动力工程及工程热物理-流体机械及工程


邮箱: dingxi_wang@nwpu.edu.cn




工作经历 Work Experience
2016.04- Northwestern Polytechnical University，School of Power and Energy，Professor
2016.01-2016.03 Northwestern Polytechnical University，School of Power and Energy，Researcher
2012.06-2016.01 SIEMENS Industrial Turbomachinery Ltd, Lincoln, UK, Principal engineer on aerodynamics
2008.07-0212.05 SIEMENS Industrial Turbomachinery Ltd, Lincoln, UK, Senior engineer on aeromechanics



教育经历 Education Experience
2005.04-2008.09 University of Durham, UK, Computational Fluid Dynamics, PhD
2002.09-2005.04 Northwestern Polytechnical University，Combustion，Master of Science
1998.09-2002.07 Northwestern Polytechnical University, Mechanical engineering, Bachelor of Engineering



教育教学 Education And Teaching
Basics of Aeronautical Turbomachinery Aerodynamic Design
This course is selective and a supplement to the compulsory course for year 3 students: Principles of Turbomachinery.
The course is lectured in English and the target audience are year 4 students who want to acquire technical knowlege in English.
Anyone who wants to do a Master degree or PhD with me is advised to take this course.





招生信息 Admission Information
We are a young and dynamic group with five staff members who have quite different educational backgroud.
We are constantly looking for talented students to join us.
My research group can admit about 5 students every year for doing a Master degree and 4 students for doing a PhD.
Interested students are welcomed to contact me via the provided email.
NPU students are also encouraged to talk to my students at Room 411 or Room 525 of the school building.




科学研究 Scientific Research
My research interest includes1.Turbomachinery aeroelasticity (forced response, flutter, etc) and unsteady flows
2.Turbomachinery aerodynamics
3.Computational fluid dynamics
4.CFD-based shape optimization


My research effort mainly lies in developing efficient numerical methods for turbomachinery aerodynamics and aeroelasticity.
All those numerical methods are based upon or closely related to CFD.


Research projects:
1. Exploring unsteady flows for compressor performance improvement.
2. Efficient unsteady flow solver for blade aeroelasticity.
3. Investigation of efficient and high fidelity numerical methods for three dimensional complex flows within aeronautical turbomachinery(NSFC grant no. **).
4. Efficient coupled blade aerodynamic and aeroelastic optimisation.





学术成果 Academic Achievements
My major academic achievement can be summarized as follows1. Develop the adjoint mixing plane method to extend the adjoint method (an efficient sensitivity analysis method) to turbomachinery blade shape optimization in a steady analysis with multiple blade rows(refs. 1 and 2. This work was part of my PhD research under the supervision of Prof. Li He).
2. Apply the adjoint method for coupled blade aerodynamic and aeroelastic design optimisation(ref. 3. This work was part of my PhD research under the supervision of Prof. Li He).
3. Develop an improved mixing plane method for analyzing steady flow within multi-blade-row turbomachines(ref. 4).
4. Develop numerical methods for stabilizing solution and accelerating convergence of time spectral equations(refs. 7 and 8).
5. Develop a rotor-stator coupling method for solving time spectral equations in a multi-row domain(ref. 5).
6. Develop the time-space spectral method for rotor-rotor/stator-stator interaction analysis(ref. 9).


Journal publications:14)S. Xu, Y. Li, X. Huang, and D.X. Wang*, Robust Newton–Krylov Adjoint Solver for the Sensitivity Analysis of Turbomachinery Aerodynamics,AIAA Journal, accepted.
13) H.K. Wu, D.X. Wang*, X. Huang and S.R. Xu, A Time-Space Multigrid Method for Efficient Solution of the Harmonic Balance Equation System, Journal of Engineering for Gas Turbines and Power, March 2021,https://doi.org/10.1115/1.**.
12) H.M. Zhang and D.X. Wang*, Time Vector Marching Method for Analyzing Complex Periodic Unsteady Flows within Turbomachinery, Journal of Propulsion and Power, December 2020,https://doi.org/10.2514/1.B37649.
11) H. Huang, W. Liu, P. Petrie-Repar, D.X. Wang*, An Efficient Aeroelastic Eigenvalue Method for Analyzing Coupled-mode Flutter in Turbomachinery, Journal of Turbomachinery, September 2020,https://doi.org/10.1115/1.**.
10)X. Huang and D.X. Wang*, Efficient Determination of Turbomachinery Blade Aero-damping Curves for Flutter Assessment via Trigonometric Interpolation, Journal of Thermal Science, 2020, 29:763–771,https://link.springer.com/article/10.1007%2Fs11630-020-1286-2.
9) X. Huang and D.X. Wang*, Time-space Spectral Method for Rotor-Rotor/Stator-Stator Interactions, Journal of Turbomachinery, November 2019, 141(11):111006, https://doi.org/10.1115/1.**.
8) X. Huang, H. Wu and D.X. Wang*, Implicit Solution of Harmonic Balance Equation System Using the LU-SGS Method and One-Step Jacobi/Gauss-Seidel Iteration, International Journal of Computational Fluid Dynamics, May 2018, 32(4-5):218-232,https://doi.org/10.1080/**.2018.**.
7) D.X. Wang* and X. Huang, Solution Stabilization and Convergence Acceleration for the Harmonic Balance Equation System, Journal of Engineering for Gas Turbines and Power, April 2017, 139(9):092503.
6) D.X. Wang*, F. Ornano, Y. Li, R. Wells, C. Hjalmarsson, L. Hedlund and T. Povey, FLOvane: a New Approach for High-Pressure Vane Design, Journal of Turbomachinery, January 2017, 139(6):061002.
5) D.X. Wang* and X. Huang, A Complete Rotor-Stator Coupling Method for Frequency Domain Analysis of Turbomachinery Unsteady Flow, Aerospace Science and Technology, November 2017, 70:367-377.
4) D.X. Wang*, An Improved Mixing-Plane Method for Analyzing Steady Flow Through Multiple-Blade-Row Turbomachines, Journal of Turbomachinery, August 2014, 136(8): 081003.
3) L. He and D.X. Wang, Concurrent Blade Aerodynamic-Aeroelastic Design Optimization Using the Adjoint Method, Journal of Turbomachinery, January 2011, 133(1): 011021.
2) D.X. Wang, L. He, Y.S. Li and R.G. Wells, Adjoint Aerodynamic Design Optimization for Blades in Multistage Turbomachines: Part II. Validation and Application, Journal of Turbomachinery, April 2010, 132(2):021012.
1)D.X. Wang and L. He, Adjoint Aerodynamic Design Optimization for Blades in Multistage Turbomachines: Part I. Methodology and Verification, Journal of Turbomachinery, April 2010, 132(2):021011.





团队信息 Team Information
My research group consists of five staff members and about a dozen students:
Dr. Xiuquan Huang
Dr. Shenren Xu
Dr. Huang Huang
Dr. Tianwei Zhang
Dr. Dingxi Wang

We are a young, dynamic and friendly research group with members having their own different research interest and enthusiasm about what they are doing. Within the group, we share research resources and work together on projects. We are looking for talented and ambitious PhD graduates to join us.



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