[关键词]
[摘要]
在湍流状态下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,先讨论了凸胞排数对换热性能的影响,分析了强化换热机理;后以换热性能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%,为换热管的优化提供了一定的参考意义。
[Key word]
[Abstract]
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. Taking 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, combined with response surface analysis, it is found that the sensitivity of structural parameters to the objective function is H>R>P. Maintaining Re=13136, the optimized structure has a heat transfer performance of at least 75% and a drag coefficient of 14.5% compared with the initial structure, which provides a certain reference for the optimization of heat exchange tubes.
[中图分类号]
[基金项目]