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首页> 外文期刊>Journal of Heat Transfer >Use of Cuckoo Search Algorithm for Performance Evaluation of Split Elliptic Shaped Fins for Enhanced Rate of Heat Transfer
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Use of Cuckoo Search Algorithm for Performance Evaluation of Split Elliptic Shaped Fins for Enhanced Rate of Heat Transfer

机译：Cuckoo搜索算法用于分裂椭圆形翅片的性能评估，提高热传递速率

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摘要

Proper dissipation of thermal energy has always been a need for desirable efficiency of a system. Extended surface aids in releasing the heat to the immediate surrounding by inducing an extra area. This particular work assesses thermal and fluid flow behavior of extended surfaces with circular and elliptic shaped cross section. Extended surfaces of unvaried cross section are mounted over a square plate arrayed in a staggered manner. With the aid of different thermofluidic parameters, the elliptic shaped pin fin is established to provide a higher thermal performance enhancement of nearly 15% over cylindrical pin fin at inlet flow velocity of 2.35m/s. Further, for elevating the interaction between the surface of the fin and the fluid, elliptic fins are reoriented to form a split. In contrast to cylindrical shaped fin, modification using split shows better result with the highest heat transfer increment of nearly 25%. Further, in order to maximize Nusselt number (Nu), a single objective cuckoo search optimization analysis is done by adopting the response surface method. After analyzing the optimization, it is found that the maximum value of Nu is obtained at dimensionless transverse offset (TO*) =0.125 and dimen-sionless longitudinal offset (LO*) = 0, which has been further validated with the numerical result within 0.97% accuracy. Further, for the cylindrical fin, the present simulations agree with the available empirical correlation within 6.22% accuracy.
机译：热能的正确耗散始终需要系统的理想效率。扩展表面辅助通过诱导额外区域将热量释放到周围的周围。该特殊工作评估了具有圆形和椭圆形横截面的延伸表面的热和流体流动。不变的横截面的扩展表面安装在以交错方式排列的方形板上。借助于不同的热流体参数，建立椭圆形销翅片以在入口流速为2.35m / s的入口流速下提供近15％的近15％的较高的热性能增强。此外，为了升高翅片的表面和流体之间的相互作用，重新定向椭圆形翅片以形成分裂。与圆柱形鳍片相比，使用分裂的改性表现出更好的结果，其热传递增量近25％。此外，为了最大化NUSERET数（NU），通过采用响应表面方法来完成单个目标咕咕搜索优化分析。在分析优化之后，发现在无量纲横向偏移（至*）= 0.125和Dimen-Sionless纵向偏移（LO *）= 0的最大值在0.97内进一步验证，在0.97内进一步验证。 ％ 准确性。此外，对于圆柱形翅片，本模拟与6.22％的精度范围内的可用经验相关。

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