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浙江大学学报(工学版)
浙江大学学报(工学版)  2020, Vol. 54 Issue (3): 435-441    DOI: 10.3785/j.issn.1008-973X.2020.03.002
机械工程     
活塞内冷油腔两相流振荡可视化模拟
黄钰期1(),陈卓烈1,胡军强2,*(),李梅2,牛昊一1
1. 浙江大学 动力机械及车辆工程研究所，浙江 杭州 310058
2. 中船重工第711研究所，上海 201108
Visual simulation of two-phase flow oscillating flow in piston cooling gallery
Yu-qi HUANG1(),Zhuo-lie CHEN1,Jun-qiang HU2,*(),Mei LI2,Hao-yi NIU1
1. Power Machinery Vehicular Engineer Institute, Zhejiang University, Hangzhou 310058, China
2. Shanghai Marine Diesel Engine Research Institute, Shanghai 201108, China
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摘要：

设计并搭建一个活塞振荡两相流可视化模拟试验台，利用3D打印技术还原某型号柴油机的活塞内冷油腔，针对甘油水溶液以及大豆油2种不同的冷却介质，在可视化拍摄流场图像的同时，收集出油数据并计算通过率. 研究发现，所采用的试验方法可摒弃喷油飞溅干扰，准确采集出油量数据，获得了清晰可辨的可视化图像. 将拍摄结果进行对比分析，并对两相流振荡的流型进行辨识和分类，发现当雷诺数达到20 000以上时，两相流振荡的流动状态会发生明显变化，流动进入强湍流状态.
关键词： 两相流振荡;  模拟油腔;  可视化试验;  流型分析;  雷诺数    
Abstract:

The experimental platform for two-phase flow oscillating flow visualization experiment was designed and established, by using 3D printing technology to restore the cooling gallery in a certain type of diesel engine piston. For the two different cooling media, glycerin aqueous solution and soybean oil, oil output data was collected and the oil pass rate was calculated while the flow field images were taken visually. The oil data was collected and the pass rate was calculated while taking visual image of flow field for two different fluid medium. Results show that the proposed test method can abandon the spray splash interference, collect the oil output data, obtain a clear and identifiable visual image. The photographic results were compared and analyzed, and the flow patterns of two-phase flow oscillating flow were identified and classified. As results, when the Reynolds number is above 20 000, the flow state of the two-phase flow oscillating flow changes significantly and enter strong turbulent state.
Key words: two-phase flow oscillating    simulated cooling gallery    visual experiment    flow pattern analysis    Reynolds number
收稿日期: 2019-01-29 出版日期: 2020-03-05
CLC:  O 359  
基金资助: 国家自然科学基金资助项目（51206141，91741203）
通讯作者: 胡军强     E-mail: huangyuqi@zju.edu.cn;hujunqiang@csic711.com
作者简介: 黄钰期（1979—），女，副教授，从事车辆及动力电池热管理、余热回收研究.orcid.org/0000-0003-3152-5021. E-mail： huangyuqi@zju.edu.cn
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黄钰期
陈卓烈
胡军强
李梅
牛昊一

引用本文:

黄钰期,陈卓烈,胡军强,李梅,牛昊一. 活塞内冷油腔两相流振荡可视化模拟[J]. 浙江大学学报(工学版), 2020, 54(3): 435-441.

Yu-qi HUANG,Zhuo-lie CHEN,Jun-qiang HU,Mei LI,Hao-yi NIU. Visual simulation of two-phase flow oscillating flow in piston cooling gallery. Journal of ZheJiang University (Engineering Science), 2020, 54(3): 435-441.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2020.03.002    或    http://www.zjujournals.com/eng/CN/Y2020/V54/I3/435

图 1  内冷油腔三维模型及试件安装方式
图 2  两相流振荡可视化试验台原理图
图 3  喷油嘴三维模型图
冷却介质 $\rho $/（kg·m?3） $\nu $/（N·s·m?2）
甘油水溶液 1 260 0.016 8
大豆油 920 0.068 5
表 1  冷却介质物性参数
图 4  当喷油流量为0.015 kg/s时不同转速下内冷油腔下止点腔内甘油水溶液流动状态
图 5  当喷油流量为0.025 kg/s时，不同转速下内冷油腔在不同曲轴转角时的腔内介质流动状态
序号 N/(r·min?1) $V$/mL ${t_0}$/s ${Q_{{\rm{out}}}}$/(mL·s?1) $\phi $/% $\overline \phi $/%
1 200 302 1.74 17.48 89.62 91.49
2 264 17.32 88.81
3 298 18.73 96.05
4 300 240 1.45 15.82 81.12 82.83
5 254 15.87 81.38
6 236 16.77 86.00
7 400 230 1.07 15.88 81.44 79.42
8 218 14.38 73.74
9 247 16.20 83.08
10 500 202 0 11.78 59.94 52.77
11 220 10.06 51.59
12 228 9.12 46.79
13 600 184 0 9.32 47.82 43.69
14 187 8.46 43.37
15 178 7.78 39.89
表 2  当喷油流量为0.025 kg/s时甘油水溶液试验数据
图 6  甘油水溶液与大豆油通过率对比
图 7  当泵压为0.5 MPa时，不同转速下在内冷油腔分别位于上、下止点时的大豆油流动形态
N/(r·min?1) v/(m·s?1) Re
甘油水溶液 大豆油 实机机油
200 2.31 10 568 1 893 7 129
300 3.46 15 830 2 835 10 679
400 4.62 21 137 3 785 14 259
500 5.77 26 398 4 727 17 808
600 6.93 31 704 5 678 21 388
1 858 20.78 — — 64 134
表 3  不同转速下的甘油水溶液、大豆油、实机机油雷诺数
N/（r·min?1） $Re$ N/（r·min?1） $Re$
400 14 042 800 28 085
500 17 553 900 31 595
600 21 063 1 000 35 106
700 24 574 ? ?
表 4  不同转速下的直腔试验雷诺数
图 8  雷诺数与流态对应关系
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