Ruizhi Jin, Ming Zhao, Yumeng Zhang, Bo Wang, Kejun Dong
{"title":"气体旋流器中空气-蒸汽-粒子流的数值研究","authors":"Ruizhi Jin, Ming Zhao, Yumeng Zhang, Bo Wang, Kejun Dong","doi":"10.1002/ppsc.202400115","DOIUrl":null,"url":null,"abstract":"This paper presents a numerical study of the complex multiphase flow of air, vapor, and particles in an innovative gas cyclone called CAP cyclone. The air–vapor flow is modeled as a mixture by the Reynolds‐averaged Navier‐Stokes equations with the mixture species transport and the Eulerian wall film model using FLUENT. Particle flow is modeled by the Lagrangian particle tracking method and the condensational growth of particle droplets is modeled via a user‐defined function. The model is validated by reaching good agreement with experimental results. Flow field analysis shows that the added vapor does not change the major vortex characteristics in the cyclone, but the vapor distribution is not uniform. The vapor concentration is much higher in the upper part than in the lower part of the cyclone, leading to insufficient condensational growth in the lower part. A secondary vapor injection is proposed to improve the vapor concentration in the lower part, which is shown to be effective in improving the collection efficiency. The model and the results are helpful to the understanding and optimization of the CAP cyclone technology, and also the vapor and particle droplet flow in turbulent flows.","PeriodicalId":19903,"journal":{"name":"Particle & Particle Systems Characterization","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical Study of Air–Vapor–Particle Flow in Gas Cyclone\",\"authors\":\"Ruizhi Jin, Ming Zhao, Yumeng Zhang, Bo Wang, Kejun Dong\",\"doi\":\"10.1002/ppsc.202400115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a numerical study of the complex multiphase flow of air, vapor, and particles in an innovative gas cyclone called CAP cyclone. The air–vapor flow is modeled as a mixture by the Reynolds‐averaged Navier‐Stokes equations with the mixture species transport and the Eulerian wall film model using FLUENT. Particle flow is modeled by the Lagrangian particle tracking method and the condensational growth of particle droplets is modeled via a user‐defined function. The model is validated by reaching good agreement with experimental results. Flow field analysis shows that the added vapor does not change the major vortex characteristics in the cyclone, but the vapor distribution is not uniform. The vapor concentration is much higher in the upper part than in the lower part of the cyclone, leading to insufficient condensational growth in the lower part. A secondary vapor injection is proposed to improve the vapor concentration in the lower part, which is shown to be effective in improving the collection efficiency. The model and the results are helpful to the understanding and optimization of the CAP cyclone technology, and also the vapor and particle droplet flow in turbulent flows.\",\"PeriodicalId\":19903,\"journal\":{\"name\":\"Particle & Particle Systems Characterization\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Particle & Particle Systems Characterization\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/ppsc.202400115\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particle & Particle Systems Characterization","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/ppsc.202400115","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
摘要
本文对称为 CAP 气旋的创新型气体气旋中空气、蒸汽和颗粒的复杂多相流进行了数值研究。通过雷诺平均纳维-斯托克斯方程和混合物种传输以及使用 FLUENT 的欧拉壁膜模型,将空气-蒸汽流模拟为混合物。粒子流采用拉格朗日粒子跟踪法建模,粒子液滴的冷凝生长通过用户自定义函数建模。通过与实验结果的良好一致性对模型进行了验证。流场分析表明,添加的水汽不会改变旋风中的主要涡流特征,但水汽分布并不均匀。旋流器上部的蒸汽浓度远高于下部,导致下部的冷凝增长不足。为了提高下部的蒸汽浓度,提出了二次蒸汽喷射的方法,结果表明该方法能有效提高收集效率。该模型和结果有助于理解和优化 CAP 旋流器技术,以及湍流中的蒸汽和颗粒液滴流动。
Numerical Study of Air–Vapor–Particle Flow in Gas Cyclone
This paper presents a numerical study of the complex multiphase flow of air, vapor, and particles in an innovative gas cyclone called CAP cyclone. The air–vapor flow is modeled as a mixture by the Reynolds‐averaged Navier‐Stokes equations with the mixture species transport and the Eulerian wall film model using FLUENT. Particle flow is modeled by the Lagrangian particle tracking method and the condensational growth of particle droplets is modeled via a user‐defined function. The model is validated by reaching good agreement with experimental results. Flow field analysis shows that the added vapor does not change the major vortex characteristics in the cyclone, but the vapor distribution is not uniform. The vapor concentration is much higher in the upper part than in the lower part of the cyclone, leading to insufficient condensational growth in the lower part. A secondary vapor injection is proposed to improve the vapor concentration in the lower part, which is shown to be effective in improving the collection efficiency. The model and the results are helpful to the understanding and optimization of the CAP cyclone technology, and also the vapor and particle droplet flow in turbulent flows.
期刊介绍:
Particle & Particle Systems Characterization is an international, peer-reviewed, interdisciplinary journal focusing on all aspects of particle research. The journal joined the Advanced Materials family of journals in 2013. Particle has an impact factor of 4.194 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)).
Topics covered include the synthesis, characterization, and application of particles in a variety of systems and devices.
Particle covers nanotubes, fullerenes, micelles and alloy clusters, organic and inorganic materials, polymers, quantum dots, 2D materials, proteins, and other molecular biological systems.
Particle Systems include those in biomedicine, catalysis, energy-storage materials, environmental science, micro/nano-electromechanical systems, micro/nano-fluidics, molecular electronics, photonics, sensing, and others.
Characterization methods include microscopy, spectroscopy, electrochemical, diffraction, magnetic, and scattering techniques.