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作 者:杨浩鹏 杨海青[1] 魏民祥[1] 吴昊 赵卓文 吴昭 YANG Haopeng;YANG Haiqing;WEI Minxiang;WU Hao;ZHAO Zhuowen;WU Zhao(College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Nanjing Changkong Technology Co.,Ltd.,Nanjing 211800,China)
机构地区:[1]南京航空航天大学能源与动力学院,南京210016 [2]南京长空科技有限公司,南京211800
出 处:《重庆理工大学学报(自然科学)》2023年第5期298-307,共10页Journal of Chongqing University of Technology:Natural Science
摘 要:针对二冲程点燃式航空煤油活塞发动机进行爆震预测研究,提出了一种基于3-Arrhenius公式的两组分混合爆震预测模型。以航空煤油燃烧实验数据为基础,采用GT-Power软件建立并校核了航空煤油的燃烧模型,利用一维性能仿真得到了爆震预测模型需要的末端混合气温度,通过发动机爆震实验数据评估了混合爆震预测模型和单一爆震预测模型的预测性能。结果表明:混合爆震预测模型和单一爆震预测模型预测的爆震起始角与实际的爆震起始角之间的标准误差分别为1.19°CA和3.23°CA,混合爆震预测模型能够识别燃烧初期的低压区域,对于爆震时缸内压力的突然升高有较好响应,表现出了良好的爆震预测性能。The knock prediction of two-stroke ignition aviation kerosene piston engines is studied in this paper.Based on 3-Arrhenius equation,this paper proposes a two-component blended knock prediction model.According to the experimental data of aviation kerosene combustion,a combustion model of aviation kerosene is developed and checked by using GT-Power software.The temperature of the end mixture gas required by the knock prediction model is obtained through one-dimensional performance simulation.The prediction performance of the blended knock prediction model and the single knock prediction model is evaluated through the engine knock test data.The results show that the standard errors between the predicted knock onset angle and the experimental knock onset angle are 1.19°CA and 3.23°CA respectively for the blended knock prediction model and single knock prediction model.The blended knock prediction model can identify the low-pressure region at the initial stage of combustion,and it has a good response to the sudden increase of pressure in the cylinder during the knock cycle,which shows a good knock prediction performance.
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