Multi-objective optimization of corrugated tube with loose-fit twisted tape using RSM and NSGA-II

被引：43
作者：
Han, Huaizhi [1 ]
Yu, Ruitian [1 ]
Li, Bingxi [2 ]
Zhang, Yaning [2 ]
Wang, Wei [2 ]
Chen, Xin [2 ]
机构：
[1] Harbin Engn Univ, Coll Power & Energy Engn, Harbin 150001, Heilongjiang, Peoples R China
[2] Harbin Inst Technol, Sch Energy Sci & Engn, Harbin 150001, Heilongjiang, Peoples R China
来源：
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER | 2019年 / 131卷
基金：
中国国家自然科学基金;
关键词：
Corrugated tube; Loose-fit twisted tape; Heat transfer enhancement; RSM; NSGA II; RESPONSE-SURFACE METHODOLOGY; HEAT-TRANSFER ENHANCEMENT; SHAPE OPTIMIZATION; GENETIC ALGORITHM; CONFIGURATION OPTIMIZATION; EXCHANGER TUBE; PRESSURE-DROP; PERFORMANCE; PARAMETERS; FLOW;
D O I：
10.1016/j.ijheatmasstransfer.2018.10.128
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
A multi-objective optimization of corrugated tube with loose-fit twisted tape (CLT) is conducted to obtain the optimal performance, using Response Surface Methodology (RSM) and Non-dominated Sorting Genetic Algorithm (NSGA-II). A series of simulation runs are performed to optimize the design variables on the objective functions. The corrugation parameters are fixed at constant values. The design variables include the Reynolds number (Re), twisted ratio (Y), and clearance ratio (CR). The objective functions involving the Nusselt number ratio (Nu/Nu(s)), friction factor ratio (f/f(s)), and overall heat transfer performance (eta) are calculated from numerical simulations. Regression models for Nu/Nu(s), f/f(s), and eta are tested, the statistical importance of each is assessed by means of the analysis of variance (ANOVA), and the models are expressed in quadratic polynomial forms. The multi-objective NSGA H is adopted to obtain the Pareto-optimal fronts. The results show that the most significant factor is the linear term of Y for Nu(c)/Nu(s), and f(c)/f(s), while that for eta is the linear term of Re. Pareto optimal solution can be obtained with the optimum Nu(c)/Nu(s) = 2.484 and f(c)/f(s) = 3.324. The corresponding values of the design variables are Re = 4000.08, Y= 2.79, and CR = 0.20. The optimal design variables against Re are also obtained, which possesses practical significances for designing heat exchanger. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码：781 / 794
页数：14
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