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首页> 外文期刊>International Journal of Heat and Mass Transfer >Modelling and multi-objective optimisation of the convective heat transfer characteristics and pressure drop of low concentration TiO_2-water nanofluids in the turbulent flow regime
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Modelling and multi-objective optimisation of the convective heat transfer characteristics and pressure drop of low concentration TiO_2-water nanofluids in the turbulent flow regime

机译：低浓度TiO_2-水纳米流体在湍流中的对流传热特性和压降的建模和多目标优化

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摘要

In the research for this paper, a GA-PNN hybrid system was used for modelling the convective heat transfer characteristics and pressure drop of TiO_2-water a nanofluid in a fully developed turbulent flow based on an experimentally obtained train and test data set. Models were developed for the Nusselt number and the pressure drop of the nanofluid as a function of Reynolds and Prandtl numbers, nanofluid volume concentration and average nanoparticle diameter. The results of the proposed models were compared with experimental data and with existing correlations. The validity of the proposed models was bench-marked by using statistical criteria and NSGA-1I was used for multi-objective optimisation for the convective heat transfer. In the optimisation procedure model, the Nusselt number and pressure drop were considered as the objective functions. However, when the set of decision variables was selected based on the Pareto set, it ensures the best possible combination of objectives. The Pareto front of multi-objective optimisation of the Nusselt number and pressure drop proposed models were also shown and discussed. It was found that application of the multi-objective optimisation method for the turbulent convective heat transfer characteristics and pressure drop of TiO_2-water nanofluid could lead to finding the best design points based on the importance of the objective function in the design procedure.
机译：在本文的研究中，基于实验获得的训练和测试数据集，使用GA-PNN混合系统对完全发展的湍流中TiO_2-水和纳米流体的对流传热特性和压降进行建模。针对Nusselt数和纳米流体的压降与雷诺数和Prandtl数，纳米流体体积浓度和平均纳米颗粒直径的函数，开发了模型。所提出的模型的结果与实验数据和现有的相关性进行了比较。利用统计标准对所提出模型的有效性进行了基准检验，并将NSGA-1I用于对流传热的多目标优化。在优化程序模型中，将Nusselt数和压降视为目标函数。但是，当根据帕累托集选择决策变量集时，它可以确保目标的最佳组合。还显示并讨论了Nusselt数和压降提出的多目标优化的Pareto前沿。研究发现，基于目标函数在设计过程中的重要性，将多目标优化方法应用于TiO_2-水纳米流体的湍流对流换热特性和压降可以找到最佳设计点。

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