Power Engineering & Engineering Thermophysics ( M.S. )

1. Training/Research Orientation

• Thermal Engineering
• Fluid Machinery and Engineering
• Refrigeration and Cryogenic Engineering

2. Program Duration and Credits

Three years generally, the maximum school years are not longer than 5 years (including the extension time).
32 credits of courses in total, at least 22 credits of academic courses.

3. Core Courses and Introduction

Engineering Thermodynamics
This course is the foundational course for the graduate students of power engineering and engineering thermal physics major. It mainly studies the energy conversion between heat and other forms of energy, and the relationship between the energy and material properties. According to the perspective of two basic law of thermodynamics, the course discusses the frontier problems in the development of thermodynamics in order to cultivate the innovation and ability for graduate students to solve practical problems.
Course objective: knowing well the concepts of energy conservation and irreversible process, et.al; grasping the basic methods of thermal physical processes occurring rules; laying the foundation of the relevant scientific research. The teaching mode adopts the combination of classroom teaching, interactive meetings with students and laboratory teaching.

Advanced Fluid Mechanics
Teaching objectives: Advanced fluid mechanics is the study of how fluids behave and interact under various forces and in various applied situations, whether in liquid or gas state or both. Advanced Fluid Mechanics' courses typically cover a variety of topics involving fluids in various multiple states (phases), with both elastic and non-elastic qualities, and flowing in complex ways.
Course content: The contents of Advanced fluid mechanics include Inviscid Flow in multi-dimensions, Viscous Flow and Turbulence, and a succinct introduction to Computational Fluid Dynamics. This course offers detailed derivation of fundamental equations for better comprehension of more advanced mathematical analysis. It provides groundwork for more advanced topics on boundary layer analysis, unsteady flow, turbulent modeling, and computational fluid dynamics.

Advanced Heat Transfer
The advanced heat transfer covers the basics of momentum, heat and mass transfer, and  some typical modern  practical applications. It develops an understanding of the thermal and physical behavior of thermal fluids systems for practical systems and modern applications in heat and mass transfer, energy systems, biological and biomedical systems, security, information technology, and nanotechnology. This graduate students are normally expected to obtain the ability of scientific thinking, scientific innovation, as well as to solve practical problems.
The content of the course includes heat conduction, convective heat transfer, mass transfer, radiation, and multiphase phenomena. The generalized governing equations for heat and mass transfer, including generalized macroscopic (integral), differential governing equations in local-instance formulations for single phases, averaged differential formulations for multi-phases, and fundamentals of turbulence are all presented. Average differential formulation and analytical approaches for steady- and unsteady-state heat conduction, basics of numerical simulation for heat conduction problems, melting and solid are included.
External forced convective heat and mass transfer which includes boundary layer theory, various analytical solution methodologies, integral methods and computational methods as well as analogies and differences in various transport phenomena systems, and external turbulent flow and heat transfer. Internal convective heat transfer that includes analytical methods and solutions for hydrodynamically and thermally fully developed laminar flow, hydrodynamically fully-developed and thermally developing laminar flow, hydrodynamically fully developed flow with coupled thermal and concentration entry effects, and combined hydrodynamically and thermally developing flow.
Natural convection including governing equations and scale analysis, followed by in-depth discussion on external natural convection that includes various solution techniques for natural convection on a vertical surface, over inclined and horizontal surfaces, and over cylinders and spheres, and free boundary flow.
The four pool boiling regimes (free convection, nucleate, transition, and film boiling), critical heat flux, minimum heat flux, direct numerical simulation, and the Leiden- frost phenomena are discussed in this course.
The fundamentals of thermal radiation including electromagnetic waves and thermal radiation, blackbody as the ideal radiator, properties of real surfaces, application and exploitation of radiative properties, and high-energy radiation-surface interactions, radiative transfer through transparent media, the net radiation method for diffuse surfaces, multimode heat transfer with radiation, inverse problems, the effect of participating media and applications of radiative transfer are also included.

Metrology of Modern Thermal Physics
Measurements of modern thermal physics are an important means of understanding the objective world. The relative testing techniques are indispensable for industrial process control, implementation of scientific experiment, and validation of mathematic models and simulation results. The fundamentals, testing methods, instruments and equipments, operation, and implication for measuring thermos-physical properties are introduced in this course. The research and development of modern thermo-physics are also involved. The course covers dynamic measurement and error analysis, sensor technology, temperature field testing technology, laser Doppler velocimetry (LDV), particle imaging velocimetry (PIV), flow visualization technique, testing technique of particles and droplets, two-fluid flow testing technique, thermogravimetric analysis, and flue gas analysis technology. Through study and discussion, graduate students are normally expected to obtain the ability for scientific innovation and solving practical problems, which builds a solid foundation for following scientific research.

Error Theory and Data Processing
After finishing this course, graduate students are normally expected to obtain the ability of understanding deeply the basic error theory and handling correctly with test data. The contents include the theory of error and relative softwares of data processing. The first part mainly includes introduction, basic theory, error synthesis and distribution, measurement uncertainty, method of least squares and regression analysis, etc. The second part is the introduction of the data processing software of Origin, mainly consists of preliminary drawing, senior layer of drawing, programming technology of Origin C, menu and tool of curve fitting, self-confined function curve fitting, etc. The last part is the introduction of Matlab software, mainly includes basic theory, numerical calculation, Matlab drawing technology, Matlab data processing technology.

5. Supervisors

Jingjing Bao, Jie Cai, Zhongzhu Gu, Xiaoxiang Jiang, Chao Li, Ping Lu, Guilin Pu, Wei Wu, Qin Xu, Wensheng Xu, Hongmin Yang, Jubing Zhang, Qi Zhang, Xiaobao Zhao, Yi Zhang.