Raju Chowdhury, Geoffrey Evans, Tom Honeyands, Brian J Monaghan, David Scimone and Subhasish Mitra*,
{"title":"碱性氧炼钢炉溅渣的二维数值模拟研究","authors":"Raju Chowdhury, Geoffrey Evans, Tom Honeyands, Brian J Monaghan, David Scimone and Subhasish Mitra*, ","doi":"10.1021/acsengineeringau.4c0003910.1021/acsengineeringau.4c00039","DOIUrl":null,"url":null,"abstract":"<p >Wearing of the inner refractory lining in a basic oxygen steelmaking (BOS) furnace occurs due to the harsh operating conditions, which reduces the useful life of the refractories and incurs a significant cost component for relining. The lifespan can be prolonged by forming a protective coating layer on the refractory walls by using the retained slag splashing technique. In this study, an Eulerian-Eulerian multiphase computational fluid dynamics (CFD) model was developed to (i) identify the potential wear-prone zones in an industrial-scale BOS system during the supersonic oxygen blowing phase by quantifying the wall shear stress distributions and (ii) simulate the retained slag splashing process by introducing an inert gas to the retained slag mass to achieve a protective coating on the refractory walls. Two distinct lance head configurations comprising six nozzles and five nozzles were used to predict the potential wear-prone zones. Both the lance head designs and lance positions were found to influence the coating area. An increase in the retained slag volume was noted to augment the coating area substantially. An optimal lance position was identified within the physical constraints, wherein the maximum coated area was achieved for all operating conditions. The bottom bubbling process through the tuyeres on the furnace floor was also found to affect the wall coating performance.</p>","PeriodicalId":29804,"journal":{"name":"ACS Engineering Au","volume":"5 2","pages":"98–114 98–114"},"PeriodicalIF":4.3000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.4c00039","citationCount":"0","resultStr":"{\"title\":\"A 2D Numerical Modeling Study of Slag Splashing in a Basic Oxygen Steelmaking Furnace\",\"authors\":\"Raju Chowdhury, Geoffrey Evans, Tom Honeyands, Brian J Monaghan, David Scimone and Subhasish Mitra*, \",\"doi\":\"10.1021/acsengineeringau.4c0003910.1021/acsengineeringau.4c00039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Wearing of the inner refractory lining in a basic oxygen steelmaking (BOS) furnace occurs due to the harsh operating conditions, which reduces the useful life of the refractories and incurs a significant cost component for relining. The lifespan can be prolonged by forming a protective coating layer on the refractory walls by using the retained slag splashing technique. In this study, an Eulerian-Eulerian multiphase computational fluid dynamics (CFD) model was developed to (i) identify the potential wear-prone zones in an industrial-scale BOS system during the supersonic oxygen blowing phase by quantifying the wall shear stress distributions and (ii) simulate the retained slag splashing process by introducing an inert gas to the retained slag mass to achieve a protective coating on the refractory walls. Two distinct lance head configurations comprising six nozzles and five nozzles were used to predict the potential wear-prone zones. Both the lance head designs and lance positions were found to influence the coating area. An increase in the retained slag volume was noted to augment the coating area substantially. An optimal lance position was identified within the physical constraints, wherein the maximum coated area was achieved for all operating conditions. The bottom bubbling process through the tuyeres on the furnace floor was also found to affect the wall coating performance.</p>\",\"PeriodicalId\":29804,\"journal\":{\"name\":\"ACS Engineering Au\",\"volume\":\"5 2\",\"pages\":\"98–114 98–114\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.4c00039\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Engineering Au\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acsengineeringau.4c00039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Engineering Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsengineeringau.4c00039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
A 2D Numerical Modeling Study of Slag Splashing in a Basic Oxygen Steelmaking Furnace
Wearing of the inner refractory lining in a basic oxygen steelmaking (BOS) furnace occurs due to the harsh operating conditions, which reduces the useful life of the refractories and incurs a significant cost component for relining. The lifespan can be prolonged by forming a protective coating layer on the refractory walls by using the retained slag splashing technique. In this study, an Eulerian-Eulerian multiphase computational fluid dynamics (CFD) model was developed to (i) identify the potential wear-prone zones in an industrial-scale BOS system during the supersonic oxygen blowing phase by quantifying the wall shear stress distributions and (ii) simulate the retained slag splashing process by introducing an inert gas to the retained slag mass to achieve a protective coating on the refractory walls. Two distinct lance head configurations comprising six nozzles and five nozzles were used to predict the potential wear-prone zones. Both the lance head designs and lance positions were found to influence the coating area. An increase in the retained slag volume was noted to augment the coating area substantially. An optimal lance position was identified within the physical constraints, wherein the maximum coated area was achieved for all operating conditions. The bottom bubbling process through the tuyeres on the furnace floor was also found to affect the wall coating performance.
期刊介绍:
)ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)