http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Guangya Zhu (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Study on Performance of Closed Air Circulation System Driven by Electric Compressor
Qihang Lu,Zhu Guangya,Dalin Zhang 한국항공우주학회 2023 International Journal of Aeronautical and Space Sc Vol.24 No.1
Aircraft are developing towards the goal of low energy consumption and high efficiency; higher requirements are put forward for the energy utilization efficiency of the environmental control system. This paper presents a new type of closed air circulation system driven by an electric compressor, which can make more efficient use of aircraft energy. Aiming at the new environmental control system, the neural network algorithm was used to construct the system component model and then carry out the system simulation. The results showed that the average error between the simulation outputs and experimental values of the model constructed by this method was less than 4.5%, which effectively verifies the correctness of the system modeling. Compared with the traditional three-wheel system, the proposed environmental control system driven by an electric compressor can reduce the engine air intake by 64.5% and improve the cooling efficiency by 210%. The proposed new environmental control system can provide a reference for the design of the environmental control system of the next generation of aircraft.
-
Jinxing Li,Dongbo Shi,Guangya Zhu,Yonghui Xie 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.10
An integrated method combining one-dimensional design and automatic threedimensional optimization is proposed for SCO 2 radial inflow turbines with low specific speed. The optimization of the nozzle and impeller are performed simultaneously. Four optimization algorithms, namely, grey wolf optimizer, elephant herding optimization, genetic algorithm, and simulated annealing algorithm, are integrated with computational fluid dynamics simulation and finite element analysis to improve the turbine efficiency. Two constraints (mass flow variation and maximum stress) are imposed in the optimization process. The results indicate that the grey wolf optimizer is the optimal algorithm. The total-to-static efficiency of the optimal turbine is 89.56 %, which is increased by 3.25 %. Moreover, splitter blades are also investigated and optimized. The maximum total-to-static efficiency of 90.16 % can be obtained by reasonably arranging splitter blades. The proposed method is versatile, nimble, and easy to implement. It can improve the design efficiency and provide a geometric reference for low specific speed SCO 2 turbines.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
