首页> 外文期刊>International Journal of Heat and Mass Transfer >A systematic study of turbulent heat transfer over rough walls
【24h】

A systematic study of turbulent heat transfer over rough walls

机译:对粗糙壁面湍流传热的系统研究

获取原文
获取原文并翻译 | 示例
           

摘要

Direct Numerical Simulations are used to solve turbulent flow and heat transfer over a variety of rough walls in a channel. The wall geometries are exactly resolved in the simulations. The aim is to understand the effect of roughness morphology and its scaling on the augmentation of heat transfer relative to that of skin friction. A number of realistic rough surface maps obtained from the scanning of gas turbine blades and internal combustion engines as well as several artificially generated rough surfaces are examined. In the first part of the paper, effects of statistical surface properties, namely surface slope and roughness density, at constant roughness height are systematically investigated, and it is shown that Reynolds analogy factor (two times Stanton number divided by skin friction coefficient) varies meaningfully but moderately with the surface parameters except for the case with extremely low slope or density where the Reynolds analogy factor grows significantly and tends to that of a smooth wall. In the second part of the paper, the roughness height is varied (independently in both inner and outer units) while the geometrical similarity is maintained. Considering all the simulated cases, it is concluded that Reynolds analogy factor correlates fairly well with the equivalent sand roughness scaled in inner units and asymptotically tends to a plateau. (C) 2018 Elsevier Ltd. All rights reserved.
机译:直接数值模拟用于解决通道中各种粗糙壁上的湍流和热传递。墙的几何形状在仿真中得到了精确解析。目的是了解相对于皮肤摩擦,粗糙度形态及其缩放对传热增加的影响。检查了从燃气涡轮叶片和内燃机的扫描获得的许多现实的粗糙表面图,以及几个人工生成的粗糙表面。在本文的第一部分中,系统地研究了在恒定的粗糙度高度下统计表面特性(即表面坡度和粗糙度密度)的影响,结果表明,雷诺类比因子(两倍的斯坦顿数除以皮肤摩擦系数)有意义地变化。但表面参数适中,但具有极低坡度或密度的情况除外,在此情况下,雷诺类比因子显着增长并趋向于光滑的壁。在论文的第二部分中,在保持几何相似性的同时,改变了粗糙度高度(内部和外部单元均独立变化)。考虑到所有模拟情况,得出的结论是,雷诺类比因子与内部单位换算的等效砂粗糙度具有很好的相关性,并且渐近趋于平稳。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号