Designing drones by combining finite element and atomistic simulations: a didactic approach

M. Raffaele, M. T. Caccamo, G. Castorina, S. Lanza, S. Magazù, G. Munaò, G. Randazzo
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引用次数: 1

Abstract

A didactic multiscale approach for drone modeling is proposed. Specifically, we investigate the drone structure at both macroscopic and microscopic scales, by making use of finite element and atomistic simulations, respectively. The structural analysis is performed with the aim to equip the drone with specific sensors and measuring instruments capable to detect the existence of volcanic ash, SO2 , CO2 and other pollutants in the atmosphere after a vulcanic eruption. We show that, by modeling the tubular structure of the drone with a sandwich constituted by a a polystyrene core, carbon fiber skins and epoxy matrix, a weight saving of 7 grams for each drone arm can be obtained, in comparison to the standard commercial drones, although a slight worsening of the mechanical performances is observed. In addition, the molecular structure of the polystyrene chains has been investigated by using atomistic Molecular Dynamics simulations, providing further information on the local structure of the polymer chains. Additional improvements of the weight saving could be obtained by means of the the topological optimization techniques on the body of the drone and on the supports for landing.
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结合有限元和原子模拟设计无人机:一种教学方法
提出了一种教学式多尺度无人机建模方法。具体来说,我们研究无人机结构在宏观和微观尺度,分别利用有限元和原子模拟。进行结构分析的目的是为无人机配备特定的传感器和测量仪器,以便在火山爆发后检测大气中是否存在火山灰、二氧化硫、二氧化碳和其他污染物。我们表明,通过对由聚苯乙烯核心、碳纤维皮肤和环氧树脂基体组成的三明治构成的无人机管状结构进行建模,与标准商用无人机相比,每个无人机手臂的重量减轻了7克,尽管观察到机械性能略有恶化。此外,利用原子分子动力学模拟研究了聚苯乙烯链的分子结构,为聚合物链的局部结构提供了进一步的信息。通过对无人机本体和着陆支撑的拓扑优化技术,可以进一步提高无人机的减重效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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