eVTOL multi-fidelity hybrid design and optimization for low noise and high aerodynamic performance

该项目通过开发新的多学科和多保真度仿真工具来支持飞机设计的数字化转型，这些工具将使新型飞机架构具有更好的空气动力学性能和更低的噪声排放。该项目更具体地解决了为城市空中交通开发的电动垂直起降飞机的设计问题，但该项目中提出的创新设计/优化框架同样适用于其他新型飞机架构，例如基于分布式电力推进，边界层摄入或开放式旋翼的飞机架构。大多数新型飞机方案的一个共同问题确实是升力-推力系统与机体之间的气动和声学相互作用的复杂性。eVTOLUTION被设计为一个中低TRL使能项目，旨在开发理解、建模和优化空气动力学和航空声学安装效果所需的知识、数据、工具和方法。该项目的主要目标是实现和展示一个新的设计和优化框架，该框架建立在三个支柱之上：（i）在设计的每个阶段利用低、中、高保真仿真方法的优势;（ii）由于数据驱动的代理模型与物理模型相结合，在保持鲁棒性的同时加速优化;以及（iii）使用先进的实验/数值交叉验证和训练方法进一步巩固设计和优化的准确性和鲁棒性。这些目标的实现将通过联合体在其飞机制造商的指导下确定的设计工作来实现。对设计实践的分析将允许量化在设计周期时间、预测准确性、优化鲁棒性、噪声缓解技术的效率以及最终加速认证过程方面所取得的收益。

This project supports the digital transformation of aircraft design by developing new multi-disciplinary and multi-fidelity simulation tools that will enable novel aircraft architectures with improved aerodynamics and reduced noise emissions. This project addresses more specifically the design issues of electric Vertical Take-Off and Landing aircraft developed for Urban Air Mobility, but the innovative design/optimization framework that are proposed in this project are equally applicable to other novel aircraft architectures, such as those based on Distributed Electric Propulsion, Boundary Layer Ingestion, or open rotors. One common issue for most novel aircraft concepts is indeed the complexity of the aerodynamic and acoustic interactions between the lift-thrust systems and the airframe. eVTOLUTION is designed as a low-to-mid-TRL enabler project meant to develop the knowledge, data, tools, and methods that are necessary to understand, model, and optimize aerodynamic and aeroacoustic installation effects. The main objective of the project isto implement and demonstrate a novel design and optimization framework, built upon three pillars: (i) exploit the strengths of low-, mid-, and high-fidelity simulation methods at each phase of the design; (ii) accelerate the optimizations while preserving robustness thanks to data-driven surrogate models combined with physical models; and (iii) further consolidate the accuracy and robustness of the design and optimization using advanced experimental/numerical cross-validation and training methodologies. The realization of these objectives will be achieved through design exercises, defined by the consortium under the guidance of its aircraft manufacturers. The analysis of the design exercises will permit quantifying the gains achieved in terms of design cycle time, prediction accuracy, optimization robustness, the efficiency of the noise mitigation technologies, and eventually the acceleration of the certification process.