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| 单孔射流冲击流动与换热过程的数值模拟 | |
| 引用本文： | 李志,豆瑞锋,温治,刘训良,楼国锋,苏福永,冯霄红,董斌.单孔射流冲击流动与换热过程的数值模拟[J].工业炉,2011,33(4):1-7. |
| 作者姓名： | 李志 豆瑞锋 温治 刘训良 楼国锋 苏福永 冯霄红 董斌 |
| 作者单位： | 1. 重庆赛迪工业炉有限公司,重庆400013;重庆市钢铁冶金工程技术研究中心,重庆400013 2. 北京科技大学热能工程系,北京,100083 3. 重庆赛迪工业炉有限公司,重庆,400013 4. 重庆赛迪工业炉有限公司,重庆400013;北京科技大学热能工程系,北京100083;重庆市钢铁冶金工程技术研究中心,重庆400013 |
| 摘 要： | 应用三种RNG k-ε湍流模型对单孔气体射流冲击流动与换热过程进行了数值仿真计算,与实验结果的比较分析表明;RNG k-e系列模型能够对射流冲击流动和换热过程进行较为准确的预测.在此基础上,进一步对局部Nu数、平均Nu数分布的分析表明:喷孔直径D对冲击点处Nu的数值大小无明显影响;射流冲击高度HI/D对Nu数的分布规律... |
| 关 键 词： | RNG k-ε 湍流模型 射流冲击 流动与换热 |
Numerical Simulation of Single-Nozzle Jet Impinging Flow and Heat Transfer Process |
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| LI Zhi,DOU Rui-feng,WEN Zhi,LIU Xun-liang,LOU Guo-feng,SU Fu-yong,FENG Xiao-hong,DONG Bin.Numerical Simulation of Single-Nozzle Jet Impinging Flow and Heat Transfer Process[J].Industrial Furnace,2011,33(4):1-7. | |
| Authors: | LI Zhi DOU Rui-feng WEN Zhi LIU Xun-liang LOU Guo-feng SU Fu-yong FENG Xiao-hong DONG Bin |
| Affiliation: | 1.CISDI Industry Furnace Co.,Ltd,Chongqing 400013,China; 2.Department of Thermal Engineering,University of Science and Technology Beijing,Beijing 100083,China;3.CISDI Chongqing Iron ＆ Steelmaking Plant Integration Co.,Ltd,Chongqing 400013,China) |
| Abstract: | The numerical simulation of the single-nozzle gas jet impinging flow and heat transfer process were calculated by three kinds of RNG based on k-ε turbulence models.The comparison with the experimental results indicated that the RNG based on k-ε turbulence models was able to obtain proper results for gas jet impinging flow and heat transfer.Based on this,the further analysis of the distribution of the local Nu and average Nu shown that the nozzle diameter D has little effect on the value of Nu on stagnation point,but the jet impinging height H/D has obvious and complex effects on the Nu number distribution.Taking the maximal average heat transfer as the standard,the higher heat transfer coefficient would be obtained when H/D between 3 to 5.The Re number only affected the value of the Nu number,but had no impact on it＇s distribution.The Nu number increased rapidly along with the increase of the Re number.At the jet impact point,the Nu number and the average Nu number were in direct proportional to 0.85 power of the Re number. |
| Keywords: | RNG k-ε turbulence model jet impinging flow and heat transfer |
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