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Multi-objective optimization of pin fin to determine the optimal fin geometry using genetic algorithm

机译：销鳍的多目标优化，使用遗传算法确定最佳鳍几何

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摘要

In this study, one dimensional heat transfer in a pin fin is modeled and optimized. We used Bezier curves to determine the best geometry of the fin. The model equations are solved to analyze the heat transfer. Total heat transfer rate and fin efficiency factor are considered as two objective functions and multi-objective optimization carried out to maximize heat transfer rate and fin efficiency simultaneously. Fast and elitist non-dominated sorting genetic algorithm (NSGA-II) is used to determine a set of multiple optimum solutions, called 'Pareto optimal solutions. The optimized results are presented with Pareto front which demonstrate conflict between two objective functions in the optimized point, both energy conservation and thermal analysis are carried out to verify the solution method and the results shows good precision.
机译：在这项研究中，对销翅片中的一维传热进行了建模和优化。我们使用贝塞尔曲线来确定鳍的最佳几何形状。求解模型方程以分析热传递。总传热率和散热片效率因子被视为两个目标函数，并进行了多目标优化，以同时最大化传热率和散热片效率。快速，精英的非支配排序遗传算法（NSGA-II）用于确定一组多个最优解，称为“帕累托最优解”。用Pareto前沿给出了优化结果，证明了在优化点上两个目标函数之间的冲突，进行了节能和热分析来验证求解方法，结果显示出良好的精度。

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  • 来源
    《Applied Mathematical Modelling》 |2012年第1期|p.244-254|共11页
  • 作者

    Farzaneh Hajabdollahi; Hassan Hashemipour Rafsanjani; Zahra Hajabdollahi; Yaser Hamidi;

  • 作者单位

    Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran;

    Chemical Engineering Department, Shahid Bahonar University of Technology, Kerman, Iran,Research Center of Mineral Industries, Shahid Bahonar University of Technology, Kerman, Iran;

    Young Researchers Club, Islamic Azad University, Zahedan Branch, Iran;

    Chemical Engineering Department, Shahid Bahonar University of Technology, Kerman, Iran;

  • 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

    pin fin; fin efficiency; bezier curve; genetic algorithm; NSGA-II;

    机译：针鳍鳍效率贝塞尔曲线遗传算法美国国家标准学会;

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