基于 von Kármán 涡街的油流分析

IF 0.7 4区 工程技术 Q4 ENGINEERING, CHEMICAL
V. A. Naletov, M. B. Glebov, L. V. Ravichev
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引用次数: 0

摘要

摘要 本文以 von Kármán 涡街为基础,分析了通过主要管道输送石油的局部涡流。涡流分析基于使用 Ansys Fluent 软件进行的计算流体动力学建模。局部涡流的模拟基于剪应力传输(SST)模型,代表了 k-ε 和 k-ω 湍流模型的组合。研究证明,在指定的油流参数和特性下,管道中心有可能产生局部涡流。对 von Kármán 涡街区域水力阻力的估算表明,该阻力可以减小。另一方面,对总体压力损失的分析表明,在涡流产生装置周围的流动中,形式阻力损失占主导地位。因此,有必要寻找其他方法来诱导局部涡流或利用石油运输过程中的多功能装置资源来克服阻力损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of Oil Flow Based on von Kármán Vortex Streets

Analysis of Oil Flow Based on von Kármán Vortex Streets

Analysis of Oil Flow Based on von Kármán Vortex Streets

In this paper, the local vortex flows for oil transported through main pipelines are analyzed on the basis of von Kármán vortex streets. The vortex flow analysis is based on computational fluid dynamics modeling using the Ansys Fluent software. The simulation of local vortex flows is based on the shear-stress transport (SST) model, representing a combination of the k–ε and k–ω turbulence models. It is proven that, for specified oil-flow parameters and characteristics, it is possible to generate local vortex flows in the center of a pipeline. The estimation of hydraulic drag in the zone of the von Kármán vortex streets indicates that it can be decreased. On the other hand, the analysis of overall pressure losses evidences that form drag losses are predominant in the case of flow around vortex-generating devices. Therefore, it becomes necessary to search for other methods to induce local vortex flows or overcome drag losses by using the resources of multifunctional units in oil-transport processes.

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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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