涡扇发动机
航程(航空)
航空学
工程类
汽车工程
选择(遗传算法)
航空航天工程
计算机科学
人工智能
作者
Mustafa Karabacak,Önder Turan
标识
DOI:10.1504/ijsa.2020.112087
摘要
This study focuses on afterburner turbofan engine weight estimation for fifth generation fighter aircrafts. Model developed in this study by investigating 26 engine cases categorised by the criteria the requirement of selection amongst to engines expected to be used in fifth generation fighter depend on four parameters with ≈ ±25% error. Technology level effect engine weight strongly so parameter reflect technology level is determined based on new technology engines used in fifth generation fighter aircraft by statistical method. Model reflect technology level is expected to be used in conceptual design stages of fifth generation fighter engine.
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