• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International communications in heat and mass transfer >Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model
【24h】

Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model

机译：使用自适应神经模糊推理系统（ANFIS）模型预测串联扁平管束中层流传热和压降的性能

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 shows how to predict the heat transfer and pressure drop for in-line flat tube configuration in a crossflow, using an adaptive neuro-fuzzy inference system (ANFIS). A numerical study of a 2D steady state and incompressible laminar flow for in-line flat tube configuration in a crossflow is also considered in this study. A finite volume technique and body-fitted coordinate system is used to solve the Navier-Stokes and energy equations. The Reynolds number varies from 10 to 320. Heat transfer and pressure drop results are presented for a tube configuration at transverse pitch and longitudinal pitch. The variation in velocity profile, isotherm contours and streamlines were compared for various configurations. The predicted results for average Nusselt number and dimensionless pressure show a good agreement with available previous work. The accuracy between numerical values and ANFIS model results were obtained with a mean relative error for average Nusselt number, pressure drop less than 1.9% and 2.97% respectively. Therefore, the ANFIS model is capable of predicting the performance of thermal systems in engineering applications, including the model of the tube bundle for heat transfer analysis and pressure drop.
机译：本文展示了如何使用自适应神经模糊推理系统（ANFIS）来预测错流中直列扁平管结构的传热和压降。在这项研究中，还考虑了二维平面稳态和不可压缩层流在横流中的直管结构的数值研究。有限体积技术和身体拟合坐标系用于求解Navier-Stokes和能量方程。雷诺数在10到320之间变化。显示了在横向螺距和纵向螺距下的管配置的传热和压降结果。比较了各种配置的速度曲线，等温线轮廓和流线的变化。平均Nusselt数和无量纲压力的预测结果表明与现有工作已有很好的一致性。获得的数值与ANFIS模型结果之间的精度具有平均Nusselt数的平均相对误差，压降分别小于1.9％和2.97％。因此，ANFIS模型能够预测工程应用中的热系统性能，包括用于传热分析和压降的管束模型。

著录项

  • 来源
  • 作者

    Tahseen Ahmad Tahseen; M. Ishak; M.M. Rahman;

  • 作者单位

    Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia,Department of Mechanical Engineering, College of Engineering, University of Tikrit, Tikrit, Iraq;

    Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia,Automotive Engineering Centre, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia;

    Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia,Automotive Engineering Centre, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    In-line fiat tube; Finite volume technique; Modeling; ANFIS model;

    机译：直列菲亚特管;有限体积技术;造型;ANFIS模型;

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