以空化空隙破碎为声源的数学模型

M. Lobachev, A. Taranov, T. Saifullin, A. N. Malashin, Yu.A. Egorov
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摘要

研究对象和目的。本文旨在建立一个空化的数学模型,将空化破碎成单独的崩溃气泡作为声源,以便在Logos软件包中进一步实现。在空化环境下对螺旋桨模型进行了研究。主题和方法。利用CFD方法研究了螺旋桨空化空间破碎后出现气泡的体积和数量,以及单个气泡破裂的振幅和频率特性。用双参数半经验湍流模型求解了非定常雷诺方程的有限体积解。由此获得的声源数学模型中的系数通过验证进行了校准,其中包括KSRC空化隧道的噪声测量。主要的结果。本文对单个空化气泡在不同初始条件下的崩塌动力学进行了数值模拟,并近似模拟了气泡在无限流体和固体壁面附近崩塌时所产生的压力冲击。研究估算了螺旋桨上空化空隙破碎产生气泡的体积和数量(3个不同形状的螺旋桨以不同的推进比和空化数运行)。代表上述过程的数学模型可以在Logos软件中进一步实现为具有k-ω SST湍流模型的有限体积算法。该研究还为进一步测试和校准由此建立的数学模型奠定了验证基础。结论。这项研究是俄罗斯国家物理和数学中心发起的超级计算机数学模拟项目的一部分。对所得结果的分析表明,本文提出的数学模型确实具有实际应用的潜力,但需要额外的经验数据,以获得更大的灵活性和更准确的估计。没有这个模型,这些实际任务仍然可以处理,但代价是相当大的,最重要的是,不必要地增加所需的硬件资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cavitation void fragmentation as acoustic source: mathematical model
Object and purpose of research. This paper is intended to develop a mathematical model of cavitation void fragmentation into separate collapsing bubbles as an acoustic source for further implementation in Logos software package. The study was performed on propeller models in cavitating environment. Subject matter and methods. Volume and quantity of bubbles appearing after fragmentation of a cavitation void on propellers, as well as amplitude and frequency properties of a single bubble collapse are studied as per CFD methods. Viscous flow properties are found from finite-volume (FVM) solution to unsteady Reynolds equations (RANS) closed by a biparametric semi-empirical turbulence model. The coefficients in the mathematical model of acoustic source thus obtained were calibrated through validation that included noise measurements at KSRC Cavitation Tunnel. Main results. This work included numerical simulation of collapse dynamics for a single cavitation bubble at different initial conditions, with approximation of the pressure impact created by bubble collapse in the infinite fluid and near a solid wall. The study estimated volume and quantity of the bubbles created by the fragmentation of cavitation void on propellers (3 propellers of different shape operating at different advance ratios and cavitation numbers). The mathematical model representing above-mentioned process could be further implemented in Logos software as a finite-volume algorithm with k-ω SST turbulence model. The study also created a validation base for further testing and calibration of the mathematical model thus developed. Conclusion. The study was performed as part of project Mathematical simulation on exa- and zetaflops class supercomputers launched by National Centre for Physics and Mathematics (Russia). The analysis of obtained results has shown that the mathematical model suggested in this paper does have practical potential, but it needs additional empirical data for greater flexibility and more accurate estimates. Without this model, these practical tasks still could be handled but at a cost of considerable and, most importantly, unnecessary increase in required hardware resources.
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