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Neuro-Fuzzy Modeling of the Free Convection Heat Transfer From a Wavy Surface

机译:波浪表面自由对流传热的神经模糊建模

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摘要

In this paper an adaptive neum-fuzzy inference system (ANFIS) is applied to model and predict the experimental results of free convection heat transfer from a vertical array of attached cylinders, which can be considered as a wavy surface, in the presence of a vertical wall. The effects of the wall-wavy surface spacing and Rayleigh number variation on average heat transfer from the wavy surface are considered via this prediction. The training data for optimizing the ANFIS structure are based on available experimental data. A hybrid learning algorithm consisting of gradient descends method and least-squares method is used for ANFIS training. The proposed ANFIS model is developed using MATLAB functions. For the best ANFIS structure obtained in this study, the mean relative errors of the train and test data were found to be 0.02% and 1.2%, respectively. The predicted results showed that ANFIS can predict the experimental results precisely.
机译:本文采用自适应神经模糊推理系统(ANFIS)来建模和预测来自垂直连接的圆柱体阵列的自由对流传热的实验结果,该圆柱体可以被视为波浪表面,并且存在垂直方向壁。通过该预测,考虑了波状表面间距和瑞利数变化对波状表面平均传热的影响。用于优化ANFIS结构的训练数据基于可用的实验数据。将梯度下降法和最小二乘法组成的混合学习算法用于ANFIS训练。所提出的ANFIS模型是使用MATLAB函数开发的。对于本研究中获得的最佳ANFIS结构,火车和测试数据的平均相对误差分别为0.02%和1.2%。预测结果表明,ANFIS可以准确预测实验结果。

著录项

  • 来源
    《Heat Transfer Engineering》 |2015年第11期|847-855|共9页
  • 作者单位

    Department of Mechanical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran;

    Department of Mechanical Engineering, Razi University, Kermanshah, Iran;

    Department of Mechanical Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran;

    Department of Mechanical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran;

    Department of Mechanical Engineering, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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