在湍流状态下对对排排列的凸胞换热管的传热及流动特性进行了数值模拟，讨论了凸胞排数对换热性能的影响，分析了强化换热机理；以换热性能Nu、阻力系数f及综合换热性能PEC指数为目标函数，利用多目标遗传算法对凸胞换热管的深度H、半径R及节距P进行优化。结果表明：凸胞附近的湍流强度明显高于光滑管，且2排凸胞数的换热管综合换热性能更优；在所研究的范围内，结合响应面分析发现，结构参数对目标函数的敏感性表现为H﹥R﹥P；维持Re=13136，优化结构与初始结构相比，换热性能至少提高75%，阻力系数减少14.5%。

The numerical simulation of the heat transfer and flow characteristics of the aligned heat exchange tubes arranged in the turbulent state is carried out.Firstly,the influence of the number of rows of convex cells on the heat transfer performance is discussed,and the mechanism of heat transfer enhancement is analyzed.With the heat transfer performance Nu,the drag coefficient f and the comprehensive heat transfer performance PEC index as the objective function,the multiobjective genetic algorithm is used to optimize the depth H,radius R and pitch P of the convex heat exchange tube.The results show that the turbulence intensity near the convex cells is significantly higher than that of the smooth tube,and the heat transfer performance of the heat exchange tubes with 2 rows of convex numbers is better.Within the scope of the study,combining with the response surface analysis,it is found that the sensitivity of structural parameters to the objective function is H>R>P.With Re=13136,the optimized structure has a heat transfer performance improvement of at least 75% and a drag coefficient reduction of 14.5% compared to those of the initial structure.

TK172

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