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Multiobjective optimization of the breathing system of an aircraft two stroke supercharged Diesel engine

机译:飞机呼吸系统的多目标优化两冲程增压柴油发动机

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One of the factors limiting the utilization of piston internal combustion engines for aircraft propulsion is the performance decrease increasing the altitude of operation. This is due to the negative effect of air density reduction increasing the altitude on cylinder filling. A solution to this problem is represented by the engine supercharging. Unfortunately, in two stroke engines, the cylinder filling efficiency is antithetical to the cylinder scavenging efficiency. With the aim of guaranteeing an optimal balance between engine performance and specific consumption, an engine breathing system optimization is needed. In this work, the results obtained running a multi-objective optimization procedure aiming at performance increase and fuel consumption reduction of an aircraft two stroke supercharged diesel engine at various altitudes are analyzed. During the optimization procedure, several geometric parameters of the intake and exhaust systems as well as geometric and operating engine parameters have been varied. Then, a multi-objective optimization algorithm based on genetic algorithms has been run to obtain the configurations optimizing the engine performance at Sea Level (take-off conditions) and fuel consumption at 10680 m (cruise conditions).
机译:限制了用于飞机推进活塞内燃机的利用的因素之一是性能降低了运行的高度。这是由于空气密度降低的负面影响增加了气缸填充物的高度。发动机增压表示该问题的解决方案。遗憾的是,在两个中风发动机中,气缸灌装效率是对气缸清除效率的稳定性。旨在保证发动机性能与特定消耗之间的最佳平衡,需要发动机呼吸系统优化。在这项工作中,分析了在各种高度的旨在增加旨在增加旨在的多目标优化程序和飞机两次行程增压柴油发动机的多目标优化过程的结果。在优化过程中,改变了进气和排气系统的几个几何参数以及几何和操作发动机参数。然后,已经运行了一种基于遗传算法的多目标优化算法,以获得优化海平面(起飞条件)和10680米(巡航条件)的发动机性能的配置。

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