...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Heat Transfer >Optimal Heat Distribution Among Discrete Protruding Heat Sources in a Vertical Duct: A Combined Numerical and Experimental Study
【24h】

Optimal Heat Distribution Among Discrete Protruding Heat Sources in a Vertical Duct: A Combined Numerical and Experimental Study

机译：垂直管道中离散突出热源之间的最佳热分布：数值和实验相结合的研究

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

This paper reports the results of experimental and numerical investigations of optimal heat distribution among the protruding heat sources under laminar conjugate mixed convection heat transfer in a vertical duct. A printed circuit board with 15 heat sources forms a wall of a duct. Three-dimensional governing equations of flow and heat transfer were solved in the flow domain along with the energy equation in the solid domain using fluent 6.3. A database of temperatures of each of the heat sources for different heat distributions is generated numerically. Artificial neural networks (ANNs) were used as a forward model to replace the time consuming complex computational fluid dynamics (CFD) simulations. The functional relationship between heat input distribution and the corresponding temperatures of the heat sources obtained by training the network is used to drive a genetic algorithm based optimization procedure to determine the optimal heat distribution. The optimal distribution here refers to the apportioning of a fixed quantity of heat among 15 heat sources, keeping the maximum of the temperatures of the heat sources to a minimum. Furthermore, the heat distribution corresponding to a set of specified target temperatures of the heat sources is obtained using a network that is trained and tested with a database of temperatures of the heat sources generated using fluent 6.3 in the range of total heat dissipation of 5-25 W. Using this network, it was possible to maximize the total heat dissipation from the heat sources for a given target temperature directly. In order to validate the optimization method, a low speed vertical wind tunnel has been used to carry out the mixed convection experiments for different combinations of heat distribution and also for the optimal heat distribution, and the temperatures of the heat sources were measured. The results of the numerical simulations, ANN, and the corresponding experimental results are in good agreement.
机译：本文报道了垂直管道中层流共轭混合对流传热条件下突出热源之间最佳热分布的实验和数值研究结果。具有15个热源的印刷电路板形成管道壁。使用fluent 6.3求解了流动域中的三维流动和传热控制方程以及固体域中的能量方程。数字地生成用于不同热分布的每个热源的温度数据库。人工神经网络（ANN）被用作正向模型，以取代耗时的复杂计算流体动力学（CFD）模拟。通过训练网络获得的热输入分布与热源的相应温度之间的函数关系被用来驱动基于遗传算法的优化程序，以确定最佳的热分布。这里的最佳分布是指在15个热源之间分配固定量的热量，从而将热源的最高温度保持在最低水平。此外，使用网络进行训练和测试，该网络对应于一组热源的指定目标温度的热分布，该网络经过培训和测试，使用fluent 6.3生成的热源温度数据库在总散热量为5的范围内25W。使用该网络，可以针对给定的目标温度直接最大化热源的总散热量。为了验证优化方法，已使用低速垂直风洞进行了不同热分布组合以及最佳热分布的混合对流实验，并测量了热源的温度。数值模拟结果，人工神经网络和相应的实验结果吻合良好。

著录项

  • 来源
    《Journal of Heat Transfer》 |2010年第1期|011401.1-011401.10|共10页
  • 作者

    T. V. V. Sudhakar; Arun Shori; C. Balaji; S. P. Venkateshan;

  • 作者单位

    Heat Transfer and Thermal Power Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;

    Heat Transfer and Thermal Power Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;

    Heat Transfer and Thermal Power Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;

    Heat Transfer and Thermal Power Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    mixed convection; protruding heat sources; three-dimensional; experimental; numerical; optimization; artificial neural networks; genetic algorithms;

    机译：混合对流突出的热源;三维;实验数值优化;人工神经网络;遗传算法;

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