Multi-objective optimization of corrugated tube with loose-fit twisted tape using RSM and NSGA-II
| Autor: | Xin Chen, Huaizhi Han, Wei Wang, Bingxi Li, Yaning Zhang, Ruitian Yu |
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| Rok vydání: | 2019 |
| Předmět: |
Fluid Flow and Transfer Processes
Optimal design Series (mathematics) 020209 energy Mechanical Engineering Reynolds number Regression analysis 02 engineering and technology Quadratic function 021001 nanoscience & nanotechnology Condensed Matter Physics Nusselt number Multi-objective optimization symbols.namesake 0202 electrical engineering electronic engineering information engineering symbols Applied mathematics Response surface methodology 0210 nano-technology Mathematics |
| Zdroj: | International Journal of Heat and Mass Transfer. 131:781-794 |
| ISSN: | 0017-9310 |
| Popis: | 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/Nus), friction factor ratio (f/fs), and overall heat transfer performance (η) are calculated from numerical simulations. Regression models for Nu/Nus, f/fs, and η 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 II is adopted to obtain the Pareto-optimal fronts. The results show that the most significant factor is the linear term of Y for Nuc/Nus and fc/fs, while that for η is the linear term of Re. Pareto optimal solution can be obtained with the optimum Nuc/Nus = 2.484 and fc/fs = 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. |
| Databáze: | OpenAIRE |
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