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Optimization of High lift device system deployment for takeoff performance

机译:优化高升力设备系统的部署以提高起飞性能

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This work presents a proposed framework intended to be used for the optimization of highlift devices, namely Flaps and Slats for the present study. From the conceptual design up to flight test, as fidelity and design maturity increases, a robust and yet fast tool is needed to assist engineers to optimize and make better decisions regarding Flap and Slat deflection definitions in order to satisfy the multitude of design challenges such as take-off performance, climb performance, landing performance, deployment times, kinematics, icing effects, failures, only to name a few. Without such a tool or framework, one can be easily overwhelmed and the best solution or trade-offs cans be lost or obliterated by the huge amounts of possibilities, constraints and design goals. The proposed framework can used with multiple fidelity data such as physics based models, CFD models and semi-empirical ones, in order to accomadate the learning curve that exists under any product development timeline. For an initial approach, the takeoff performance calculation is conducted using statistical models constructed from wind tunnel test data and then optimized, having as main design goal the maximization of the MTOW for a certain runway and having 2nd segment gradient as main constraint. Other constraints can and will be added as needed, in order to assist in a robust decision. Once the framework is set, a multitude of design studies can be done, including design robustness, sensitiveness, design changes and many others. Not only a direct result in airplane performance is expected, but also an expressive reduction in development cycle times from conceptual design to flight test, since the framework will hugely speed up the design process.
机译:这项工作提出了一个拟议的框架,旨在用于优化本研究的举升设备(即襟翼和板条)。从概念设计到飞行测试,随着保真度和设计成熟度的提高,需要一种功能强大且快速的工具来帮助工程师针对襟翼和板条挠度定义进行优化并做出更好的决策,从而应对多种设计挑战,例如起飞性能,爬升性能,着陆性能,部署时间,运动学,结冰效果,故障,仅举几例。如果没有这样的工具或框架,一个巨大的可能性,约束和设计目标将很容易使人不知所措,并且最佳解决方案或折衷方案可能会丢失或消失。所提出的框架可以与多个保真度数据一起使用,例如基于物理的模型,CFD模型和半经验的模型,以适应任何产品开发时间表下存在的学习曲线。对于初始方法,使用从风洞测试数据构建的统计模型进行起飞性能计算,然后进行优化,以某跑道的MTOW最大化为主要设计目标,并以第二段坡度为主要约束条件进行优化。可以并且将根据需要添加其他约束,以帮助做出可靠的决定。设置好框架后,就可以进行大量的设计研究,包括设计的稳健性,敏感性,设计变更等。由于该框架将极大地加快设计过程,因此不仅可以预期直接提高飞机性能,而且可以显着减少从概念设计到飞行测试的开发周期。

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