Multi-objective optimization of corrugated tube inserted with multi-channel twisted tape using RSM and NSGA-II

By Huaizhi Han, Ruitian Yu, Bingxi Li, Yaning Zhang. Applied Thermal Engineering, 2019

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Abstract A multi-objective optimization of corrugated tube inserted with multi-channel twisted tape (CMCT) 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 (Re, y/w, CN) on the objective functions (Nuc/Nus, fc/fs, and η). Regression models are obtained in quadratic polynomial forms, and the statistical importance of each term in the models is assessed by means of the analysis of variance (ANOVA). The NSGA II is adopted to obtain the Pareto-optimal fronts. The results show that the most significant factor is the linear term of Re for Nuc/Nus and η, while that for fc/fs is the linear term of CN. According to Pareto optimal solution, it can be observed the optimum objective functions are Nuc/Nus = 3.464 and fc/fs = 15.44, corresponding design variables are Re = 2034.44, y/w = 3.271, and CN = 5. The optimal design variables against Re are also obtained, which possesses practical significances for designing heat exchanger.

Subfields: Building and Construction, Computational Theory and Mathematics, Mechanical Engineering

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