{"title":"关于快速流化床动力学的标度规律:关键评论和最终解决方案","authors":"Ming-Chuan Zhang","doi":"10.1016/j.partic.2025.04.004","DOIUrl":null,"url":null,"abstract":"<div><div>Archimedes number (Ar) is the most important parameter characterizing the fluid-particle two-phase-flow system, which determines the ratio of terminal velocity of single particle to minimum gas velocity for fluidization, and then the possibility of two fluidized systems being similar in fast-fluidization flow-regime. After brief revisit of the scaling laws reported in literatures, the problem/limitations of missing Ar were revealed/identified. Starting from Glicksman's full set scaling laws, new simplified four identities scaling laws for mesoscale similarity were derived. They were confirmed, also, by the unified model for fast fluidization dynamics established by the present author and his co-workers. When the new criteria were applied for scaling-down a high-temperature CFB combustor to a cold-air model, about one tenth semi-spontaneous scaling for bed size was identified and declared. With this benefit, scaling down from a large CFB combustor, of 15 m in diameter, to a 1/20 cold model was demonstrated successfully. Further simplification was also conducted to the beds using same gas and particles for partial/macroscale similarity. With guidance of the unified model, the simplest scaling laws having two similitude identities were obtained. And this is coincident well with Qi and Zhu's empirical correlation, deduced from dozens more literature data sets and their own.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"102 ","pages":"Pages 53-69"},"PeriodicalIF":4.1000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On scaling laws of fast-fluidized-bed dynamics: Critical remarks and final solution\",\"authors\":\"Ming-Chuan Zhang\",\"doi\":\"10.1016/j.partic.2025.04.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Archimedes number (Ar) is the most important parameter characterizing the fluid-particle two-phase-flow system, which determines the ratio of terminal velocity of single particle to minimum gas velocity for fluidization, and then the possibility of two fluidized systems being similar in fast-fluidization flow-regime. After brief revisit of the scaling laws reported in literatures, the problem/limitations of missing Ar were revealed/identified. Starting from Glicksman's full set scaling laws, new simplified four identities scaling laws for mesoscale similarity were derived. They were confirmed, also, by the unified model for fast fluidization dynamics established by the present author and his co-workers. When the new criteria were applied for scaling-down a high-temperature CFB combustor to a cold-air model, about one tenth semi-spontaneous scaling for bed size was identified and declared. With this benefit, scaling down from a large CFB combustor, of 15 m in diameter, to a 1/20 cold model was demonstrated successfully. Further simplification was also conducted to the beds using same gas and particles for partial/macroscale similarity. With guidance of the unified model, the simplest scaling laws having two similitude identities were obtained. And this is coincident well with Qi and Zhu's empirical correlation, deduced from dozens more literature data sets and their own.</div></div>\",\"PeriodicalId\":401,\"journal\":{\"name\":\"Particuology\",\"volume\":\"102 \",\"pages\":\"Pages 53-69\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Particuology\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1674200125000975\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particuology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674200125000975","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
On scaling laws of fast-fluidized-bed dynamics: Critical remarks and final solution
Archimedes number (Ar) is the most important parameter characterizing the fluid-particle two-phase-flow system, which determines the ratio of terminal velocity of single particle to minimum gas velocity for fluidization, and then the possibility of two fluidized systems being similar in fast-fluidization flow-regime. After brief revisit of the scaling laws reported in literatures, the problem/limitations of missing Ar were revealed/identified. Starting from Glicksman's full set scaling laws, new simplified four identities scaling laws for mesoscale similarity were derived. They were confirmed, also, by the unified model for fast fluidization dynamics established by the present author and his co-workers. When the new criteria were applied for scaling-down a high-temperature CFB combustor to a cold-air model, about one tenth semi-spontaneous scaling for bed size was identified and declared. With this benefit, scaling down from a large CFB combustor, of 15 m in diameter, to a 1/20 cold model was demonstrated successfully. Further simplification was also conducted to the beds using same gas and particles for partial/macroscale similarity. With guidance of the unified model, the simplest scaling laws having two similitude identities were obtained. And this is coincident well with Qi and Zhu's empirical correlation, deduced from dozens more literature data sets and their own.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.