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 

机构地区：[1]Hangzhou International Innovation Institute,Beihang University,Hangzhou,311115,China [2]Research Institute of Aero-Engine,Beihang University,Beijing,102206,China [3]Civil Aviation University of China,Tianjin,300300,China [4]Aircraft/Engine Integrated System Safety Beijing Key Laboratory,Beijing,100083,China [5]Aero Engine Academy of China,Beijing,101304,China [6]School of Energy and Power Engineering,Beihang University,Beijing,100083,China [7]AVIC Chengdu Aircraft Design and Research Institute,Chengdu,610091,China [8]AVIC Nanjing Engineering Institute of Aircraft Systems,Nanjing,211106,China [9]School of Transportation Science and Engineering,Beihang University,Beijing,100083,China [10]Faculty of Science and Engineering,University of Nottingham Ningbo China,Ningbo,315100,China

出　　处：《Energy and AI》2024年第3期261-280,共20页能源与人工智能（英文）

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].

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 timings.However,its high-altitude gas exchange performance remains unexplored,presenting new opportunities for optimization through artificial intelligence(AI)technology.This study uses validated 1D+3D models to evaluate the high-altitude gas exchange performance of PV2S aircraft engines.The 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 altitudes.The optimization process reveals that increasing the intake duration while decreasing the exhaust duration and valve overlap angles can significantly enhance high-altitude gas exchange performance.The optimal valve overlap angle emerged as 93°CA at sea level and 82°CA at 4000 m altitude.The effects of operating parameters,including engine speed,load,and exhaust back pressure,on the gas exchange process at varying altitudes are further investigated.The higher engine speed increases trapping efficiency but decreases the delivery ratio and charging efficiency at various altitudes.This effect is especially pronounced at elevated altitudes.The increase in exhaust back pressure will significantly reduce the delivery ratio and increase the trapping efficiency.This 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.

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

分 类 号：V31[航空宇航科学与技术—航空宇航推进理论与工程]