Professor Zheng
Recently, the annual academic conference of the Global Power and Propulsion Society (GPPS Chania24) was held in Greece. During the conference, Dr. Vladimir Navrotsky (Chair of the GPPS Awards Committee) presented the Best Paper Award for GPPS 2023. Professor Zheng's research team won this award for their paper “An Efficient Multi-Fidelity Simulation Approach for Performance Prediction of Adaptive Cycle Engines”. Among the 158 academic papers from scholars worldwide, 4 papers were awarded this honor.
The award was presented by Dr. Vladimir Navrotsky
Team members accepted the award
To address the challenge of inaccurate performance prediction caused by multiple variable geometry components and complex control schemes of adaptive cycle engine, Professor Zheng's research team proposed a versatile and efficient multi-fidelity performance simulation approach for adaptive cycle engine. The awarded paper established the physics-based one-dimensional mean-line models for the adaptive fan and variable geometry turbine respectively, and adopted the iteratively coupled method to integrate the mean-line models into the zero-dimensional engine model of adaptive cycle engine. The proposed method allows researchers to study the effects of component design parameters and variable geometry parameters on the component characteristics and engine performance under the whole engine environment, and significantly improves the performance prediction accuracy of adaptive cycle engine in the conceptual design and preliminary design stage.
The authors are Wangzhi Zou, Zhaoyun Song, Baotong Wang, Mengyang Wen, and Xinqian Zheng. Wangzhi Zou and Mengyang Wen are PhD candidates supervised by Professor Zheng. Zhaoyun Song is a postdoctoral researcher cooperated with Professor Zheng. Baotong Wang is an Associate Professor from Institute for Aero Engine, Tsinghua University.
Citation information: Zou, W., Song, Z., Wang, B., Wen, M., and Zheng, X. "An efficient multi-fidelity simulation approach for performance prediction of adaptive cycle engines." Journal of the Global Power and Propulsion Society, vol. 8, 2024, pp. 310-322. doi:10.33737/jgpps/191167.
Link to the paper: https://journal.gpps.global/An-efficient-multi-fidelity-simulation-approach-for-performance-prediction-of-adaptive,191167,0,2.html
Award certificate