کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7051711 | 1457380 | 2018 | 31 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new model for volume fraction measurements of horizontal high-pressure wet gas flow using gamma-based techniques
ترجمه فارسی عنوان
مدل جدیدی برای اندازه گیری کسر حجمی جریان گاز خیس افقی با فشار بالا با استفاده از تکنیک های مبتنی بر گاما
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کلمات کلیدی
جریان گاز مرطوب با فشار بالا، نسبت لغزش، مدل دایره ای با قطر برابر روش ضعف گاما، مقدار حجم گاز،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
چکیده انگلیسی
The accurate predictions of void fraction and gas volume fraction are important in characterizing wet gas flow, as they are the basic input for determining other key flow parameters, such as flow velocity and flow rate of each phase. In previous studies, empirical relationships were used to predict void fraction and gas volume fraction, which have limited applicability due to the lack of detailed structural and dynamic information involved in two-phase flow. Hence, in this work, attempts are being made to develop a model based on a simplified two-phase interfacial structure. A slip ratio based equal-diameter double-circle model is proposed to predict the void fraction and gas volume fraction using gamma ray attenuation method for high-pressure wet gas conditions. Model predictions were verified against experiments in a 172.0â¯mm inner diameter horizontal pipe. Nitrogen and kerosene were used as the test fluids with gas volume fractions ranging from 92% to 100%. The relative errors in the line-averaged void fraction predicted by the slip ratio based model were within ±2%. In addition, this model can be used to explain the relationship between the key flow parameters and further to predict the optimal measuring angle of the gamma rays. The line-averaged void fraction measured by the gamma ray attenuation method at a proper angle predicted by the model is equal to the gas volume fraction for these high-pressure wet gas conditions, with an average relative error of 0.2%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Experimental Thermal and Fluid Science - Volume 96, September 2018, Pages 311-320
Journal: Experimental Thermal and Fluid Science - Volume 96, September 2018, Pages 311-320
نویسندگان
Yanzhi Pan, Yugao Ma, Shanfang Huang, Pengman Niu, Dong Wang, Jianhua Xie,