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Modeling and Second Law Based Optimization of Plate Fin and Tube HeatExchanger Using MOPSO

机译:基于MOPSO的板翅管换热器建模与第二定律优化

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In the present study, a comprehensive thermal modeling and optimal design of plain Fin-and-Tube Heat Exchanger (FTHE) is performed. Hence, method is applied to estimate the heat exchanger pressure drop and effectiveness. The design parameters of this scientific study are selected as: longitudinal pitch, transversal pitch, fin pitch, number of tube pass, tube diameter, cold stream flow length, no-flow length and hot stream flow length. In addition, Multi Objective Particle Swarm Optimization (MOPSO) is applied to obtain the minimum number of entropy generation units and total annual cost (sum of investment and operation costs) as two objective functions, simultaneously. The results of optimal designs are a set of multiple optimum solutions, called ‘Pareto optimal solutions’. It reveals that any geometrical changes which decrease the number of entropy generation units lead to an increase in the total annual cost and vice versa. Moreover, for prediction of the optimal design of the FTHE, an equation for number of entropy generation units versus the total annual cost is derived for the Pareto front. Furthermore, the sensitivity analysis of change in optimum number of entropy generation units and total annual cost with changes in design parameters of the fin tube heat exchanger is also performed in detail.
机译:在本研究中,进行了平面翅片管式热交换器(FTHE)的综合热建模和优化设计。因此,应用方法来估计热交换器的压降和有效性。选择该科学研究的设计参数为:纵向螺距,横向螺距,翅片螺距,管段数,管径,冷流长度,无流长度和热流长度。此外,应用多目标粒子群算法(MOPSO)来同时获取最少的熵生成单元数和总年度成本(投资和运营成本之和)作为两个目标函数。最佳设计的结果是一组多个最佳解决方案,称为“帕累托最佳解决方案”。它表明,任何减少熵产生单位数量的几何变化都会导致年度总成本的增加,反之亦然。此外,为了预测FTHE的最佳设计,推导了帕累托前沿的熵产生单位数量与年度总成本的关系式。此外,还详细分析了随着翅片管换热器设计参数的变化,最佳的熵产生单元的数量变化和年度总成本的敏感性分析。

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