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Multidisciplinary Optimization of a Hovering Wing with a Service-Oriented Framework and Experimental Model Validation

机译:面向服务框架的悬停机翼多学科优化与实验模型验证

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An aeroelastic flapping analysis is integrated with a commercial, gradient-based optimizer within a computational framework. The aeroelastic analysis couples a geometrically-nonlinear beam formulation with a quasi-steady blade element aerodynamics tool and trigonometric flapping kinematics. Analytic gradient information is produced for peak power required, cycle-averaged lift, and maximum von Mises stress with respect to element chord and thickness and nine kinematic parameters, alleviating the burden of finite-difference gradients. The chord and thickness distributions and kinematics were simultaneously optimized to provide a wing requiring minimum flapping power under constraints on lift and stress. Three optimized designs are presented, yielding more than 70% reduction in peak power requirement from baseline designs, and 28% reduction from a design produced by another optimization method. This work concludes with an experimental validation of the aeroelastic tool through the comparison of various static, dynamic, and flapping metrics.
机译:气动弹性拍打分析与计算框架内的基于梯度的商用优化器集成在一起。气动弹性分析将几何非线性梁公式与准稳定叶片元素气动工具和三角扑动学结合起来。产生所需的峰值功率,周期平均升力和关于元件弦和厚度的最大冯·米塞斯应力以及九个运动学参数的解析梯度信息,从而减轻了有限差分梯度的负担。同时优化了弦和厚度分布以及运动学特性,以提供一种在升力和应力约束下要求最小拍击力的机翼。提出了三种优化设计,与基准设计相比,峰值功率需求降低了70%以上,而另一种优化方法所产生的设计则降低了28%。通过比较各种静态,动态和拍打指标,对气动弹性工具进行了实验验证,从而完成了这项工作。

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