Numerical Modeling of Noise Generation by Different Propeller Configurations of a Multicopter

A. A. Aksenov, S. F. Timushev, D. V. Klimenko, S. Yu. Fedoseev, P. A. Moshkov
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Abstract

Lightweight multicopters (drones) are widely used for commercial and other activities. In the developed countries of Europe and the United States, legislative measures are beginning to be developed to limit the noise of multicopters; thus, the low noise level of a propeller multicopter is an important factor in competitiveness. This requires the development of computational aeroacoustics methods in combination with computer-aided design systems for drones, including propellers. The application of the method of decomposition of vortex and acoustic modes in a subsonic isentropic flow, described in this article, makes it possible to consider the factors of the inhomogeneity of the flow and rotor interference. For a feasibility study, a single-processor version of the software is used, which implements this method in the time domain for the propeller blade passing frequency (BPF). The comparative characteristics of the sound field parameters for different rotor configurations in the hovering mode above the ground are presented. The necessity of optimizing the mutual position of the propellers of the multicopter to ensure a low level of radiated sound power is shown.

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多旋翼飞机不同螺旋桨配置产生噪声的数值建模
摘要 轻型多旋翼飞行器(无人机)被广泛用于商业和其他活动。欧美发达国家开始制定立法措施限制多旋翼飞行器的噪音;因此,螺旋桨多旋翼飞行器的低噪音水平是竞争力的一个重要因素。这就需要结合无人机(包括螺旋桨)的计算机辅助设计系统,开发计算航空声学方法。本文介绍的亚音速等熵流中涡旋和声学模式分解方法的应用,使得考虑流动的不均匀性和转子干扰因素成为可能。为了进行可行性研究,使用了单处理器版本的软件,在时域中对螺旋桨叶片通过频率(BPF)实施了该方法。文中介绍了不同旋翼配置在地面悬停模式下的声场参数比较特性。说明了优化多旋翼螺旋桨相互位置以确保低水平辐射声功率的必要性。
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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Mathematical Models and Computer Simulations
Mathematical Models and Computer Simulations Mathematics-Computational Mathematics
CiteScore
1.20
自引率
0.00%
发文量
99
期刊介绍: Mathematical Models and Computer Simulations  is a journal that publishes high-quality and original articles at the forefront of development of mathematical models, numerical methods, computer-assisted studies in science and engineering with the potential for impact across the sciences, and construction of massively parallel codes for supercomputers. The problem-oriented papers are devoted to various problems including industrial mathematics, numerical simulation in multiscale and multiphysics, materials science, chemistry, economics, social, and life sciences.
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