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Numerical modelling and theoretical analysis of the acoustic attenuation in bubbly liquids
Engineering Applications of Computational Fluid Mechanics ( IF 5.9 ) Pub Date : 2023-05-12 , DOI: 10.1080/19942060.2023.2210193
Yanghui Ye 1 , Mengda Song 1 , Yangyang Liang 2 , Sheng Li 1 , Cong Dong 1 , Zhongming Bu 1 , Guilin Hu 1
Affiliation  

The propagations of acoustic waves in bubbly liquids have been extensively investigated through experimental and theoretical methods, a computational fluid dynamics (CFD) method was introduced to investigate the acoustic attenuation through bubbles in this study. Numerical ‘measurements’ of attenuation coefficient (α) and phase velocity (V) were conducted using a homogeneous cavitation model, which were modeled from experimental schemes and compared with the theoretical results. At extremely small bubble volume fraction (β around 10−11), new formulas of the theoretical α (αtheo) were proposed respectively for linear and transient oscillations, and a new formula of the numerical α (αnum) was proposed for transient oscillations. Results showed that αnum matched precisely with αtheo for linear, nonlinear and transient oscillations. At medium β (around 10−4), the relative difference of αnum between the VOF and present methods was less than 1.6%, while it reached 15.4% after replacing the bounded Keller-Miksis equation (KME) in the present method with the KME. However, the traditional theoretical α and V matched precisely with the predictions by the present method with the KME. Thus new theoretical α and V were proposed based on the bounded KME, and the relative differences between αtheo and αnum were less than 1%. It can be concluded that the bounded KME should be used in both numerical and theoretical predictions.



中文翻译:

气泡液体中声衰减的数值建模与理论分析

声波在气泡液体中的传播已通过实验和理论方法进行了广泛研究,本研究引入了计算流体动力学 (CFD) 方法来研究气泡对声波的衰减。使用均匀空化模型对衰减系数 ( α ) 和相速度 ( V ) 进行数值“测量”,该模型根据实验方案建模并与理论结果进行比较。在极小的气泡体积分数 ( β大约 10 −11 ) 下,理论α ( α theo) 分别针对线性和瞬态振荡提出,并针对瞬态振荡提出了数值α ( α num ) 的新公式。结果表明,对于线性、非线性和瞬态振荡, α numα theo精确匹配。在中等β值(10 -4左右)下,VOF方法与现有方法的α num相对差异小于1.6%,而将现有方法中的有界Keller-Miksis方程(KME)替换为KME。然而,传统的理论αV与本方法与 KME 的预测精确匹配。从而在有界KME的基础上提出了新理论αVαtheoαnum的相对差异小于1%。可以得出结论,在数值和理论预测中都应使用有界 KME。

更新日期:2023-05-12
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