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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part E. Journal of Process Mechanical Engineering >A modified firefly algorithm to maximize heat dissipation of a rectangular porous fin in heat exchangers exposed to both convective and radiative environment
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A modified firefly algorithm to maximize heat dissipation of a rectangular porous fin in heat exchangers exposed to both convective and radiative environment

机译:一种改进的萤火虫算法,最大化矩形多孔翅片在暴露于对流和辐射环境中的热交换器中的散热

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摘要

The current study deals with the optimization of significant parameters of aluminium and copper rectangular porous fins using firefly algorithm with reflective boundary condition. The study has been done considering convective heat transfer, in the first case, as well as combined convective and radiative modes of heat transfer, in the second case. To solve the non-linear governing equation, a semi analytical technique, differential transformation method is adopted. The results obtained by differential transformation method are validated by the numerical solution obtained by the finite difference method. The performance of firefly algorithm is evaluated by comparing with the results obtained by particle swarm optimization where it is seen that for the current set of equations, firefly algorithm took lesser number of iterations and computational time to converge than particle swarm optimization for all the cases. The analysis has been done for three different fin volumes and the effect of important variables which directly influence the heat transfer rate through porous fins has been discussed.
机译:目前的研究涉及使用具有反射边界条件的萤火虫算法优化铝和铜矩形多孔翅片的显着参数。在第二种情况下,在第一种情况下,考虑到对流传热,以及在第二种情况下,在第一种情况下以及组合的对流和热传递模式。为了解决非线性控制方程,采用半分析技术,差分变换方法。通过通过有限差分方法获得的数值溶液验证了通过差分变换方法获得的结果。通过与通过粒子群优化获得的结果进行比较来评估Firefly算法的性能,其中可以看出,对于当前的等式集,Firefly算法比所有情况的粒子群优化都比粒子群优化收敛了较少的迭代次数和计算时间。已经讨论了三种不同Fin卷的分析,并且已经讨论了通过多孔鳍片直接影响传热速率的重要变量的效果。

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