دورية أكاديمية

Improved modeling and correlation for heat transfer through a condensate droplet

التفاصيل البيبلوغرافية
العنوان: Improved modeling and correlation for heat transfer through a condensate droplet
المؤلفون: Jie Pang, Ruiqi Wang, Zhenhai Zou, Kai Chen, Kelong Zhang
المصدر: Energy Reports, Vol 9, Iss , Pp 124-139 (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Dropwise condensation, Conduction resistance, Shape factor, Fitting correlation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: In dropwise condensation, the heat transfer performance is determined by the heat transfer through a single droplet and the droplet size distribution on the cooled condensing surface. The conduction resistance inside a droplet is an important part of all heat transfer resistances, and it also affects the size distribution of small droplets further, such as in the popular population balance model. The heat transfer of a single droplet can be measured by the Nusselt number (Nu), and internal conduction resistance can be measured by the dimensionless shape factor (f). Previous studies have shown that Nu and f are functions of droplet contact angle (θ) and Biot number (Bi). Based on this, some fitting correlations of Nu or f in a certain range of Bi and θ are established. However, previous results show unreasonable values when Bi is very large or very small, the effective ranges of these fitting correlations are not broad enough, and the fitting accuracy is not gratifying enough. In this paper, the heat transfer characteristics of condensing droplets are investigated by a CFD method which is validated by comparing the simulation results and theoretical solution for hemisphere droplets. By adopting this method, f and Nu are obtained for droplets with 10° ≤θ≤ 170° and 10−3 ≤Bi ≤ 104. Considering the relationship between current numerical results and the model of Kim and Kim (2011), an improved general fitting correlation covering all 374 simulation cases is proposed, and the root mean square (RMS) errors of f and Nu are 3.6% and 2.6%, respectively.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2352-4847
Relation: http://www.sciencedirect.com/science/article/pii/S235248472300210X; https://doaj.org/toc/2352-4847
DOI: 10.1016/j.egyr.2023.02.067
URL الوصول: https://doaj.org/article/217a438e72594d2ba83fc690cd29e6a5
رقم الأكسشن: edsdoj.217a438e72594d2ba83fc690cd29e6a5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23524847
DOI:10.1016/j.egyr.2023.02.067