This paper aims to develop a smart multiphysics approach for wind turbine design utilizing Industry 5.0. A new blade profile is developed and optimized by non-dominated sorting genetic algorithm II (NSGA-II) for shape design, and a 3D modeling of wind turbines is proposed. The aerodynamic modeling of a horizontal axis wind turbine (HAWT) is an important step in the design of wind turbines. The blade geometry design plays an important role in a wind turbine to maximize the aerodynamic performance and extract as much kinetic energy as possible from the wind resource. This paper addresses a high-level design and optimization for the parameters of a new blade. Moreover, a 3D modeling of large wind turbines (>7 MW) is proposed that can be used in wind farms. This approach can be used in real-time design in Industry 5.0 using different data from sensors. Finally, the optimized blade increases the produced power by 10% (from 7.5 MW to 8.2 MW). The proposed approach allows people to work alongside machinery to improve processes and provide personalization for companies manufacturing wind turbines.

中文翻译：

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工业 5.0 中风力涡轮机设计的智能多物理场方法


本文旨在开发一种利用工业 5.0 的风力涡轮机设计的智能多物理场方法。通过非支配排序遗传算法 II （NSGA-II） 开发和优化了一种新的叶片轮廓进行形状设计，并提出了风力涡轮机的三维建模。水平轴风力涡轮机 （HAWT） 的空气动力学建模是风力涡轮机设计中的重要步骤。叶片几何设计在风力涡轮机中起着重要作用，可以最大限度地提高空气动力学性能并从风资源中提取尽可能多的动能。本文介绍了新叶片参数的高级设计和优化。此外，还提出了可用于风电场的大型风力涡轮机 （>7 MW） 的 3D 建模。这种方法可以在工业 5.0 中使用来自传感器的不同数据进行实时设计。最后，优化的叶片将产生的功率提高了 10%（从 7.5 MW 增加到 8.2 MW）。拟议的方法允许人们与机器一起工作，以改进流程并为制造风力涡轮机的公司提供个性化服务。