...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of porous media >AN OPTIMIZATION STUDY OF HEAT TRANSFER ENHANCEMENT DUE TO JET IMPINGEMENT OVER POROUS HEAT SINKS USING THE LATTICE BOLTZMANN METHOD
【24h】

AN OPTIMIZATION STUDY OF HEAT TRANSFER ENHANCEMENT DUE TO JET IMPINGEMENT OVER POROUS HEAT SINKS USING THE LATTICE BOLTZMANN METHOD

机译：格子Boltzmann方法对多孔传热射流射流强化传热的优化研究。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, an optimization study involving five variable parameters that are critical in evaluating the thermal performance of the air jet flow impingement over porous heat sinks in a mixed convection regime is presented. The variable parameters include the porous block height, channel height, jet width, porosity, and Darcy number. The lattice Boltzmann method for porous media is used as the numerical tool to simulate the objective functions in terms of the Nusselt number and pressure drop. The Kriging method combined with a genetic algorithm is used to generate the optimal Pareto plot. Three optimal cases from the Pareto plot showing the maximum, minimum, and optimum Nusselt numbers and the pressure drop are considered. The optimized results show that the porosity and Darcy number are relatively invariant along the Pareto surface. Thus, the geometry of the channel and porous block are the most significant parameters governing the Nusselt number and pressure drop values. The results from optimization corresponding to the three optimal cases are analyzed in detail. The local variation in the Nusselt number for these cases is also plotted to understand the effect of the channel and porous heat sink parameters on heat transfer.
机译：在本文中，提出了涉及五个可变参数的优化研究，这五个参数对于评估混合对流状态下对多孔散热器的空气射流冲击的热性能至关重要。可变参数包括多孔块高度，通道高度，射流宽度，孔隙率和达西数。多孔介质的格子Boltzmann方法被用作数值工具，以Nusselt数和压降来模拟目标函数。克里格方法与遗传算法相结合，用于生成最佳帕累托图。考虑了帕累托图中显示的最大，最小和最佳努塞尔数以及压降的三个最佳情况。优化结果表明，沿帕累托表面的孔隙度和达西数相对不变。因此，通道和多孔块的几何形状是控制Nusselt数和压降值的最重要参数。详细分析了与三种最佳情况相对应的优化结果。对于这些情况，还绘制了Nusselt数的局部变化，以了解通道和多孔散热器参数对传热的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号