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A combined multi-criterion optimization to determine optimum geometrical parameters for flow of an ecofriendly graphene-based nanofluid inside tube enhanced with twisted conical strip inserts
Powder Technology ( IF 5.2 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.powtec.2020.08.044 Mehdi Bahiraei , Zeinab Rahimi , Faezeh Nazari
Powder Technology ( IF 5.2 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.powtec.2020.08.044 Mehdi Bahiraei , Zeinab Rahimi , Faezeh Nazari
Abstract Thermohydraulic attributes of a biologically produced nanofluid containing graphene nanoplatelets inside a pipe fitted with twisted conical strip inserts are optimized. The slant angle, geometry angle, and pitch are the geometrical parameters, which are optimized to reach highest Nusselt number and lowest friction coefficient. Genetic algorithm in combination with compromise programming method is used. The slant angle and pitch have more profound impacts on Nusselt number in comparison with their influence on friction factor, while the geometry angle has a greater effect on the friction factor. In the case that the friction coefficient and Nusselt number have rather similar priorities, one should utilize the larger slant angles and smaller geometry angles. Under similar priority of two outputs, at the relevant optimum point, Nusselt number and friction factor respectively increase by about 40.4% and 2.2 times relative to those in the plain tube.
中文翻译:
一种组合多准则优化,以确定使用扭曲锥形条插入增强的环保石墨烯纳米流体在管内流动的最佳几何参数
摘要 优化了在装有扭曲锥形条带插入件的管道内含有石墨烯纳米片的生物生产纳米流体的热水力学属性。倾斜角、几何角和螺距是几何参数,它们被优化以达到最高的努塞尔数和最低的摩擦系数。使用遗传算法结合折衷编程方法。与对摩擦系数的影响相比,倾斜角度和螺距对努塞尔数的影响更深远,而几何角度对摩擦系数的影响更大。在摩擦系数和努塞尔数的优先级比较接近的情况下,应使用较大的倾斜角和较小的几何角。在两个输出的相似优先级下,在相关的最佳点,
更新日期:2021-01-01
中文翻译:
一种组合多准则优化,以确定使用扭曲锥形条插入增强的环保石墨烯纳米流体在管内流动的最佳几何参数
摘要 优化了在装有扭曲锥形条带插入件的管道内含有石墨烯纳米片的生物生产纳米流体的热水力学属性。倾斜角、几何角和螺距是几何参数,它们被优化以达到最高的努塞尔数和最低的摩擦系数。使用遗传算法结合折衷编程方法。与对摩擦系数的影响相比,倾斜角度和螺距对努塞尔数的影响更深远,而几何角度对摩擦系数的影响更大。在摩擦系数和努塞尔数的优先级比较接近的情况下,应使用较大的倾斜角和较小的几何角。在两个输出的相似优先级下,在相关的最佳点,