Gas exchange optimization in aircraft engines using sustainable aviation fuel:A design of experiment and genetic algorithm approach

作     者：Zheng Xu Jinze Pei Shuiting Ding Longfei Chen Shuai Zhao Xiaowei Shen Kun Zhu Longtao Shao Zhiming Zhong Huansong Yan Farong Du Xueyu Li Pengfei Yang Shenghui Zhong Yu Zhou 

作者机构：Hangzhou International Innovation InstituteBeihang UniversityHangzhou311115China Research Institute of Aero-EngineBeihang UniversityBeijing102206China Civil Aviation University of ChinaTianjin300300China Aircraft/Engine Integrated System Safety Beijing Key LaboratoryBeijing100083China Aero Engine Academy of ChinaBeijing101304China School of Energy and Power EngineeringBeihang UniversityBeijing100083China AVIC Chengdu Aircraft Design and Research InstituteChengdu610091China AVIC Nanjing Engineering Institute of Aircraft SystemsNanjing211106China School of Transportation Science and EngineeringBeihang UniversityBeijing100083China Faculty of Science and EngineeringUniversity of Nottingham Ningbo ChinaNingbo315100China 

出 版 物：《Energy and AI》 (能源与人工智能（英文）)

年 卷 期：2024年第17卷第3期

页      面：261-280页

核心收录：

学科分类：08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：funded by the Basic Research Program of the National Natural Science Foundation of China[grant numbers 52206131,U2333217,U2233213,and 51775025] National Key R&D Program of China[grant number 2022YFB2602002 and 2018YFB0104100] Zhejiang Provincial Natural Science Foundation of China[grant number LQ22E060004] Science Center of Gas Turbine Project[grant number P2022-A-I-001-001] 

主　　题：Poppet valves two-stroke Design of experiment Genetic algorithm optimization Heavy fuel aircraft engine High altitude gas exchange performance 

摘      要：The poppet valves two-stroke(PV2S)aircraft engine fueled with sustainable aviation fuel is a promising option for general aviation and unmanned aerial vehicle propulsion due to its high power-to-weight ratio,uniform torque output,and flexible valve ***,its high-altitude gas exchange performance remains unexplored,presenting new opportunities for optimization through artificial intelligence(AI)*** study uses validated 1D+3D models to evaluate the high-altitude gas exchange performance of PV2S aircraft *** valve timings of the PV2S engine exhibit considerable flexibility,thus the Latin hypercube design of experiments(DoE)methodology is employed to fit a response surface model.A genetic algorithm(GA)is applied to iteratively optimize valve timings for varying *** optimization process reveals that increasing the intake duration while decreasing the exhaust duration and valve overlap angles can significantly enhance high-altitude gas exchange *** optimal valve overlap angle emerged as 93°CA at sea level and 82°CA at 4000 m *** effects of operating parameters,including engine speed,load,and exhaust back pressure,on the gas exchange process at varying altitudes are further *** higher engine speed increases trapping efficiency but decreases the delivery ratio and charging efficiency at various *** effect is especially pronounced at elevated *** increase in exhaust back pressure will significantly reduce the delivery ratio and increase the trapping *** study demonstrates that integrating DoE with AI algorithms can enhance the high-altitude performance of aircraft engines,serving as a valuable reference for further optimization efforts.