The first (2021) Graduate Project and Thesis Sharing Platform for Excellent Undergraduate in Energy and Power was successfully held on August 28. The theses of Silei Xiang, Xingchen Wang and Guanyu Feng from the School of Mechanical Engineering were rated as Excellent Undergraduate Graduation Thesis.

 

Thesis title	Author	Supervisor
Performance optimization of fuel cells based on non-precious metal catalysts	Silei Xiang	Shuiyun Shen
Design of Turbine Blade Internal Cooling Based on Parameterized Deformation Technology	Xingchen Wang	Mingyang Yang
In-furnace ammonia injection denitrification at high temperatures and low oxygen environment and its effects on the operation of boiler unit	Guanyu Feng	Hai Zhang

 

The Graduate Project and Thesis Sharing Platform for Excellent Undergraduate in Energy and Power was prepared from 2019 to 2020 and officially launched in early 2021. A total of 83 universities across the country participated. After completing the project collection, expert letter evaluation and expert meeting evaluation, a total of 102 works were selected as National Excellent Graduation Thesis (Design) works of Energy and Power majors.

 

Attachment: Introduction to excellent papers

 

Name of Winning Student: Silei Xiang
Thesis Supervisor: Shuiyun Shen 
Thesis Title: Performance optimization of fuel cells based on non-precious metal catalysts
Thesis Introduction:

 

 

At present, the commercialization of proton exchange membrane fuel cells is greatly hindered by a limited storage of platinum. Therefore, low-cost M-N-C catalysts with MOF structure have become the focus of current research. Herein, the effects of the ratio of Fe to Zn, the ratio of solute to solvent as well as the heat treatment temperature on the ORR performance of Fe-N-C catalysts were well analyzed. It is found that the existence of iron leads to the formation of carbon nanotube, the solute to solvent ratio helps control the size of catalyst particles, and the heat treatment temperature influences both the content and types of metal elements. The as-synthesized Fe-N-C catalyst is characterized with both carbon nanotube structure and MOF structure, and the half wave potential reaches as high as 0.85 V vs. RHE. The performance of membrane electrode assemblies (MEAs) based on it were optimized through tuning the ionic polymer content (I/C) in catalyst slurry, cathode catalytic layer load and proton exchange membrane thickness. The orthogonal experiment results show that the peak power density of the membrane electrode assembly with the best performance can reach 533.64mW/cm2. Finally, the stability of the membrane electrode assembly was tested, and it was found that the performance degradation occurred in the high current density region.
 

Name of Winning Student: Xingchen Wang
Thesis Supervisor: Mingyang Yang 
Thesis Title: Design of Turbine Blade Internal Cooling Based on Parameterized Deformation Technology
Thesis Introduction:

The requirements of engine performance require for high gas temperature at the inlet of turbine in gas turbine. Usually the turbine materials can not directly be exposed to the high temperature because that melting temperature is evidently lower. Therefore, the internal cooling technology has to be employed and the corresponding structure should be designed to enhance the cooling and reduce the pressure loss. However, cooling structure is usually complexed and hence difficult to model and optimized.
In this project, the parametric modeling and optimization technology research of turbine blade and its internal cooling structure are carried out. The full parametric modeling and rapid parameter adjustment technology of turbulence column, cooling ribs, impact holes, gas film holes and other structures are realized. At the same time, solid domain and fluid domain are established. The results show that the best heat transfer capacity is obtained when the tilt angle of the spoiler is 40°. With the increasing of cooling ribs thickness, the inlet pressure of cooling gas increases significantly. When the thickness of cooling ribs is 1.2mm, the temperature of wall surface and blade tip can be effectively improved.
The results clearly demonstrate the advantages of the method of parametric modeling on the optimization of turbine inter cooling structures.
 

Name of Winning Student: Guanyu Feng
Thesis Supervisor: Hai Zhang 
Thesis Title: In-furnace ammonia injection denitrification at high temperatures and low oxygen environment and its effects on the operation of boiler unit
Thesis Introduction:

 

Nowadays, the world faces the urgent requirement for ultra-low NOx combustion due to its environmental damage. Air-staged is a useful and effective low-NOX combustion technology. With the development of this technology, the degree of air classification is gradually increasing, and the combustion is developing in a more refined direction. This work plans to conduct experimental and numerical simulation research on the SNCR process to explore the effect of high temperature and trace oxygen. Based on the mechanism study, this work proposes an in-furnace ammonia injection strategy, and finally analyze its impact on the boiler unit. The result will lay solid foundation for the economic achievement of advanced low NOX emission for boiler systems.

 

Website link to winners' list: http://202.197.9.245/eap/xwgg/62d37bb1c92e43ca8776d1af65b67ff6.htm