کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7046450 | 1457099 | 2018 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-parameter optimization of shell-and-tube heat exchanger with helical baffles based on entransy theory
ترجمه فارسی عنوان
بهینه سازی چند پارامتر مبدل حرارتی پوسته و لوله با حباب های اسپلیت بر اساس نظریه ماتریس
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کلمات کلیدی
مبدل حرارتی شل و لوله، سوپاپ های هلیلیک، ورودی بهینه سازی، الگوریتم ژنتیک،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
چکیده انگلیسی
An optimization strategy combined the entransy theory and genetic algorithm was proposed in this paper. The applicability of entransy theory on shell-and-tube heat exchanger with helical baffles (STHXsHB) was firstly proved by the consistency of performance evaluation criteria (PEC) and entransy dissipation theory based on experimental data. The effects of helix angle, overlapped degree and shell-side velocity on thermal resistance (optimization objective) were discussed based on the minimum thermal resistance principle. The results showed that the entransy dissipation thermal resistance decreased with the shell-side velocity but increased with the helix angle. The overlapped degree nearly had no effect on the variation of entransy dissipation thermal resistance. According to the sensitivity study, the thermal resistance was considered to be mostly affected by the shell-side velocity and then the helix angle. Three optimum configurations were obtained by the genetic algorithm, for which the thermal resistance decreased by 7%. The combination of entransy theory and genetic algorithm can provide some theoretical guidance to optimize the configuration of shell-and-tube heat exchanger with helical baffles effectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 130, 5 February 2018, Pages 804-813
Journal: Applied Thermal Engineering - Volume 130, 5 February 2018, Pages 804-813
نویسندگان
Jian wen, Xin Gu, Mengmeng Wang, Yuce Liu, Simin Wang,