کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7113883 | 1461077 | 2018 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Vertical annular flow pattern characterisation using proper orthogonal decomposition of Electrical Impedance Tomography
ترجمه فارسی عنوان
خصوصیات الگوی جریان عمودی حلقوی با استفاده از تقسیم راست متعامد توموگرافی امپدانس الکتریکی
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کلمات کلیدی
تجزیه مناسب متعادل، دو فاز جریان، رژیم جریان چند فاز، توموگرافی امپدانس برق توزیع توان الکتریکی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
Annular flow is one of the most important multiphase flow regimes primarily because of its presence in extensive industrial applications,such as steam generators, evaporators, condensers and boiling water reactors. There is a great need to have specific techniques capable of extracting characteristics of annular flow pattern via experiment and/or modelling, which is essential to understand specific annular flow phenomena. The intention of developing a mathematical decomposition method for flow regime recognition comes from the fact that each regime is characterised by unique dynamic behaviour. The direct approach with Proper Orthogonal Decomposition (POD) was previously introduced by Lumley, which required a very large amount of relevant data from experimental multiphase and process conditions is necessary. The presented approach is to apply POD on a large amount of tomograms for identification of annular flow pattern in a gas-liquid two phase flow, which also provides a new method to extend the current evaluation procedure of Electrical Impedance Tomography (EIT) for imaging of air-water pipeline flows.The paper demonstrates the capability of the proposed method with a study on annular flow patterns in vertical pipeline.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Flow Measurement and Instrumentation - Volume 62, August 2018, Pages 281-296
Journal: Flow Measurement and Instrumentation - Volume 62, August 2018, Pages 281-296
نویسندگان
Jiri Polansky, Mi Wang,