Verification and Validation of a Network Algorithm for Single-phase Flow Modeling using Microfluidic Experiments
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 130
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شناسه ملی سند علمی:
JR_JACM-9-4_020
تاریخ نمایه سازی: 19 شهریور 1402
چکیده مقاله:
This paper presents the results of the full-scale verification and validation of the mathematical model and numerical algorithm for the network computation of a single-phase flow in a highly branched pipeline chain. The essential difference of this work from others is that highly branched hydraulic networks with homogeneous and non-uniform permeability, containing more than ۷۰ thousand branches, are considered. Such branched networks are important in many applications. Therefore, the development of algorithms for calculating flows in such networks is very important. The network model is based on hydraulic theory, and the numerical algorithm relies on the network analogue of the well-known control volume method. At the same time, obtaining reliable experimental data for testing models for calculating very branched hydraulic networks is very difficult. In this work, microfluidic technologies are used to solve this problem. Data of laboratory experiments, obtained using microfluidic models of branched networks with homogeneous and heterogeneous permeability, containing several tens of thousands of branches, as well as CFD simulation results in full ۳D formulation employing the fine computational grids were used to validate the model. The Reynolds number ranged from ۰.۸۱ to ۱۳. Conducted validation has shown a good qualitative and quantitative concordance of the results of network and hydrodynamic simulation, as well as the data of the microfluidic experiments. The error in determining the total pressure drop in the branched hydraulic network with heterogeneous permeability, containing ۳۷,۸۵۵ nodes and ۷۴,۹۰۰ branches, did not exceed ۵%. It has been demonstrated that the speed of solving a single-phase flow problem in a highly branched chain using network simulation techniques is ۶۰ times more of magnitude higher as compared to CFD simulation at virtually the same accuracy.
کلیدواژه ها:
نویسندگان
S.A. Filimonov
Siberian Federal University, ۷۹ Svobodny pr., Krasnoyarsk, ۶۶۰۰۴۱, Russian Federation
D.V. Guzei
Siberian Federal University, ۷۹ Svobodny pr., Krasnoyarsk, ۶۶۰۰۴۱, Russian Federation
A.S. Yakimov
Siberian Federal University, ۷۹ Svobodny pr., Krasnoyarsk, ۶۶۰۰۴۱, Russian Federation
A.I. Pryazhnikov
Siberian Federal University, ۷۹ Svobodny pr., Krasnoyarsk, ۶۶۰۰۴۱, Russian Federation
V.A. Zhigarev
Siberian Federal University, ۷۹ Svobodny pr., Krasnoyarsk, ۶۶۰۰۴۱, Russian Federation
A.V. Minakov
Siberian Federal University, ۷۹ Svobodny pr., Krasnoyarsk, ۶۶۰۰۴۱, Russian Federation
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