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◆ Thermal Science and Engineering Progress2025-11-14· Nusselt number

Performance enhancement of double-tube heat exchangers using nonuniformly twisted elliptical tubes: A CFD based multi objective optimization approach via RSM and NSGA-II

Rizvi Arefin Rinik, Arafat A. Bhuiyan, Md. Rezwanul Karim

原始摘要(英文原文)· Original abstract
This study proposes an innovative nonuniformly twisted elliptical tube heat exchanger (NTETHEX) with unequal twist pitches to address the inadequacy of uniformly twisted tube designs in double-tube heat exchanger system. A numerical investigation was conducted in the laminar regime, evaluating nine CFD cases with twist ratios ranging from 1.0 to 2.0. The optimal configuration featuring an outer tube combination of (400-800-1400) achieved the highest Nusselt number ( Nu ) and thermal performance. Further, the numerical solutions are optimized by integrating Box-Behnken Design, Response Surface Methodology, NSGA-II and a weighted factor scalarization technique. The critical design variables such as Reynolds number ( Re ), twist pitch ( P ), and surface temperature ( T s ) were analyzed to enhance the Nusselt number ( Nu ), minimizing the friction factor ( f ), and improving the PEC . Also, Quadratic polynomial regression models are developed, and their significance are evaluated through analysis of variance (ANOVA). The objective functions fitted via RSM are processed with NSGA-II to identify the set of Pareto optimal solutions. The outcomes of this multi objective optimization study compared with uniformly twisted tube and the Nu increased by 52 % and frictional coefficient is reduced by 200 % . It is evident that raising Re markedly enhances Nu . The best-performing NTETHEX configuration was found at Re = 3940.54, T s = 365 K , and P = 1.90 demonstrates the potential of nonuniformly twisted tube for highly efficient heat exchangers in critical energy applications.
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Performance enhancement of double-tube heat exchangers using nonuniformly twisted elliptical tubes: A CFD based multi objective optimization approach via RSM and NSGA-II — 科研速览 Science Skim