Leakage reduction mechanism of supercritical CO2 scallop damper seal: Vortex structure and turbulence dissipation

涡流 机械 涡轮机械 物理 消散 湍流 迷宫式密封 泄漏(经济) 带宽遏流 湍流动能 气体压缩机 热力学 涡轮机 经济 宏观经济学
作者
Toshinori Watanabe,Takehiro Himeno
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:35 (5) 被引量:7
标识
DOI:10.1063/5.0150926
摘要

The scallop damper seal (SDS) is a new sealing solution utilized in supercritical CO2(S-CO2) turbomachinery, and its sealing performance is of great interest. Analyzing the energy dissipation of fluid in the seal is critical for understanding the leakage characteristics of SDS. In this paper, we develop a high-order compressible flow solver with real gas thermophysical modeling. The vortex structure and turbulence dissipation of leakage flow are investigated to uncover the leakage reduction mechanism of SDS. By comparing the flow fields within a labyrinth seal (LABY) and a full-partition pocket damper seal (FPDS), we demonstrate that SDS has better leakage reduction performance for S-CO2. The results indicate that S-CO2 fluid flows into the SDS cavity and expands significantly. The formed vortex dissipates sufficiently more energy, reducing the leakage flow rate (LFR). The increase in the Mach number of the fluid flowing through the SDS gap is limited. Still, the gas permeability phenomenon caused by the throttling effect is observed in the clearance of LABY and FPDS, resulting in an increased LFR. At the differential pressure of 5 MPa, the LFR of SDS is 36.6% and 54.4% lower than that of LABY and FPDS, respectively. Although the rotor rotation leads to an asymmetric distribution of vortex in the SDS cavity, the vortex develops rapidly and occupies the entire space. For the seal design of S-CO2 turbomachinery, enhancing the turbulence dissipation of fluid in the cavity and reducing the gas permeability of fluid in clearance should be the focus of attention.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无极微光应助son采纳,获得20
刚刚
末末完成签到 ,获得积分10
刚刚
Lucas应助权归尘采纳,获得10
1秒前
2秒前
abcd_1067发布了新的文献求助10
3秒前
龚仕杰完成签到 ,获得积分10
4秒前
zxh完成签到,获得积分10
5秒前
素源发布了新的文献求助10
7秒前
斯文败类应助Cheish采纳,获得10
11秒前
12秒前
lindo完成签到 ,获得积分10
14秒前
lulu完成签到,获得积分20
15秒前
妮娜完成签到,获得积分10
16秒前
16秒前
16秒前
科研通AI6.1应助笔墨留香采纳,获得10
17秒前
Sophia完成签到 ,获得积分10
17秒前
灵巧代柔完成签到,获得积分10
19秒前
19秒前
Marlowe7发布了新的文献求助10
20秒前
20秒前
Cheish完成签到,获得积分20
22秒前
24秒前
Ava应助无情的豆芽采纳,获得10
24秒前
Cheish发布了新的文献求助10
24秒前
互助完成签到,获得积分0
24秒前
同同同喜发布了新的文献求助10
25秒前
27秒前
贝贝发布了新的文献求助10
27秒前
HXM完成签到 ,获得积分10
28秒前
hll发布了新的文献求助10
29秒前
天使爱美丽完成签到,获得积分10
30秒前
完美世界应助haki采纳,获得10
30秒前
水清木华完成签到,获得积分10
33秒前
34秒前
ephore应助桃桃奶盖采纳,获得30
39秒前
心内小白发布了新的文献求助10
40秒前
Jason615发布了新的文献求助10
41秒前
美满如冬完成签到,获得积分10
41秒前
哈哈2022完成签到,获得积分10
42秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354064
求助须知:如何正确求助?哪些是违规求助? 8169088
关于积分的说明 17195885
捐赠科研通 5410209
什么是DOI,文献DOI怎么找? 2863905
邀请新用户注册赠送积分活动 1841339
关于科研通互助平台的介绍 1689961