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B-spline curve based optimum profile of annular fins using multiobjective genetic algorithm

机译:基于B样条曲线的环形鳍最佳轮廓的多目标遗传算法

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摘要

Thermal stress in annular fins, which influences the life of a fin, still needs its detail analysis. Heat transfer in annular fins is studied here as a multiobjective optimization problem. Representing fin profiles by B-spline curves, fin geometries are obtained primarily by maximizing heat transfer rate and minimizing thermal stress. Fin performance is further assessed by minimizing fin volume and maximizing fin efficiency and effectiveness. Evaluating temperature and thermal stress by hybrid spline difference method, non-dominated sorting genetic algorithm II is applied to approximate the Pareto-optimal front. The proposed procedure would be helpful for designers to adopt suitable fin configurations from the Pareto front.
机译:环形散热片中的热应力会影响散热片的寿命,但仍需要对其进行详细分析。环形翅片中的传热在这里作为多目标优化问题进行研究。用B样条曲线表示翅片轮廓,翅片的几何形状主要是通过最大程度地提高热传递速率和最小化热应力来获得的。通过最小化翅片体积并最大化翅片效率和有效性来进一步评估翅片性能。用混合样条差法评估温度和热应力,采用非支配排序遗传算法Ⅱ对帕累托最优前沿进行近似。拟议的程序将有助于设计人员从Pareto前端采用合适的鳍片配置。

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