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首页> 外文期刊>International Journal of Heat and Mass Transfer >Design of a heat exchanger working with organic nanofluids using multi-objective particle swarm optimization algorithm and response surface method
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Design of a heat exchanger working with organic nanofluids using multi-objective particle swarm optimization algorithm and response surface method

机译：基于多目标粒子群算法和响应面法的有机纳米流体换热器设计

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摘要

Highlights•Pareto optimal design of a heat exchanger using COOH_MWCNTs nanofluid studied.•Multi-objective particle swarm optimization algorithm and RSM used.•Heat transfer and pressure drop were considered for optimization.•Optimum values of operating parameters of heat exchanger obtained.AbstractIn this study, the Pareto optimal design of COOH-MWCNTs nanofluid was investigated to reduce pressure drop and increase the relative heat transfer coefficient. Objective function modeling was based on empirical data, the solid volume fraction, and Reynolds number and then simulated with the response surface method in Design Expert software. After the objective function approximation, the regression coefficient of more than 0.9 for this study indicated the high accuracy of modeling through the RSM. To implement the optimization process, the powerful multi-objective particle swarm optimization algorithm was used. To show the correct optimization process, the results of the first and last generations of optimization are presented at the Pareto front, with all parts of it being non-dominant and optimized. Optimal results showed that to achieve a minimum pressure drop, the relative solid volume fraction should be at the minimum interval, and to achieve the maximum heat transfer coefficient, the relative solid volume fraction should be at the maximum interval. In addition, all optimal parts have the Reynolds number in the maximum range. At last, the optimum locations are presented, and the designer can select from these optimal points.
机译： 突出显示 • 使用所研究的COOH_MWCNTs纳米流体对热交换器进行帕累托最优设计。 < ce：list-item id =“ o0010”> • 使用多目标粒子群优化算法和RSM。< / ce：para> • 考虑优化传热和压降。 • 获得了热交换器的最佳运行参数。 摘要

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  • 作者

    Mohammad Hemmat Esfe; Omid Mahian; Mohammad Hadi Hajmohammad; Somchai Wongwises;

  • 作者单位

    Department of Mechanical Engineering,, Imam Hossein University;

    Fluid Mechanics, Thermal Engineering and Multiphase Flow Research Laboratory (FUTURE Lab.), Department of Mechanical Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi,Center for Advanced Technologies, Ferdowsi University of Mashhad;

    Department of Mechanical Engineering,, Imam Hossein University;

    Fluid Mechanics, Thermal Engineering and Multiphase Flow Research Laboratory (FUTURE Lab.), Department of Mechanical Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi,The Academy of Sciences, Royal Society of Thailand;

  • 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

    Organic nanofluids; Heat exchanger design; Optimization; Swarm optimization algorithm; Response surface method;

    机译：有机纳米流体换热器设计优化群优化算法响应面法;

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