کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7057056 | 1458067 | 2014 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Quantifying the synergy of bubble swarm patterns and heat transfer performance using computational homology
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Quantifying the synergy of bubble swarm patterns and heat transfer performance using computational homology Quantifying the synergy of bubble swarm patterns and heat transfer performance using computational homology](/preview/png/7057056.png)
چکیده انگلیسی
This paper proposes a novel method to quantify the synergy of bubble swarm patterns and heat transfer performance in a direct-contact heat exchanger (DCHE) by using computational homology. Betti numbers are used to estimate the number of bubbles aggregating in flow patterns and to obtain the pseudo-homogeneous time. A simple linear model of a bubble swarm and the heat transfer performance of a DCHE is constructed on the basis of experimental analysis, in which a new index (βt) is defined by the Betti number average as well as the pseudo-homogeneous time. A good fitting curve between βt and the volumetric heat transfer coefficient average is obtained with a correlation coefficient of 0.95. A paradigm is established on the basis of this novel method for the study of flow patterns and heat transfer performance, and it offers an alternative route to explore the relationship of flow patterns and heat transfer in other heat transfer processes such as convection, multiphase flow, and turbulent flow.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Heat and Mass Transfer - Volume 75, August 2014, Pages 497-503
Journal: International Journal of Heat and Mass Transfer - Volume 75, August 2014, Pages 497-503
نویسندگان
Junwei Huang, Jianxin Xu, Xiuli Sang, Huitao Wang, Hua Wang,