{"title":"Modeling minimum transport boundary for pneumatic conveying of powders","authors":"Gourav Saluja, S. S. Mallick, Sujay Karmakar","doi":"10.1080/02726351.2023.2258347","DOIUrl":null,"url":null,"abstract":"AbstractAccurate prediction of blockage conditions or the minimum transport boundary is essential for the reliable design and operation of a pneumatic powder conveying system. Many existing empirical models for minimum transport boundary do not consider essential powder properties and operating conditions, such as loose poured bulk density, particle size, and air density. Based on the conveying results of 13 different powders, this paper has developed a new empirical model for the minimum transport boundary. The model includes a Froude number based on particle size and bulk density and a dimensionless gas density term, which makes the model inherently adaptable to variations in powder properties and operating conditions. Results of validation show that the new model provides a significantly improved prediction of minimum Froude Number (in the range of 7 to 13% relative error only) compared to the existing models, which provided relative errors in the range of 19 to 67%.Keywords: Pneumatic conveyingminimum transport criteriamodified particle froude numberloose poured bulk densityparticle sizeconveying air density AcknowledgmentThe authors would like to thank NTPC Ltd., India, for the sponsored research project – sanction letter ref. 9100000168-151-1001.“NTPC sponsored Research Scholar, Gouarv Saluja, would like to thank NTPC for providing him scholarship.”The authors would like to acknowledge the collaboration between Thapar Institute of Engineering & Technology (TIET) and Granutools (Belgium) for the use of GranuHeap instrument.Disclosure statementNo potential conflict of interest was reported by the author(s)","PeriodicalId":19742,"journal":{"name":"Particulate Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particulate Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02726351.2023.2258347","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractAccurate prediction of blockage conditions or the minimum transport boundary is essential for the reliable design and operation of a pneumatic powder conveying system. Many existing empirical models for minimum transport boundary do not consider essential powder properties and operating conditions, such as loose poured bulk density, particle size, and air density. Based on the conveying results of 13 different powders, this paper has developed a new empirical model for the minimum transport boundary. The model includes a Froude number based on particle size and bulk density and a dimensionless gas density term, which makes the model inherently adaptable to variations in powder properties and operating conditions. Results of validation show that the new model provides a significantly improved prediction of minimum Froude Number (in the range of 7 to 13% relative error only) compared to the existing models, which provided relative errors in the range of 19 to 67%.Keywords: Pneumatic conveyingminimum transport criteriamodified particle froude numberloose poured bulk densityparticle sizeconveying air density AcknowledgmentThe authors would like to thank NTPC Ltd., India, for the sponsored research project – sanction letter ref. 9100000168-151-1001.“NTPC sponsored Research Scholar, Gouarv Saluja, would like to thank NTPC for providing him scholarship.”The authors would like to acknowledge the collaboration between Thapar Institute of Engineering & Technology (TIET) and Granutools (Belgium) for the use of GranuHeap instrument.Disclosure statementNo potential conflict of interest was reported by the author(s)
期刊介绍:
Particulate Science and Technology, an interdisciplinary journal, publishes papers on both fundamental and applied science and technology related to particles and particle systems in size scales from nanometers to millimeters. The journal''s primary focus is to report emerging technologies and advances in different fields of engineering, energy, biomaterials, and pharmaceutical science involving particles, and to bring institutional researchers closer to professionals in industries.
Particulate Science and Technology invites articles reporting original contributions and review papers, in particular critical reviews, that are relevant and timely to the emerging and growing fields of particle and powder technology.