نمایش مختصر رکورد

dc.contributor.authorSaanvi, Alishaen_US
dc.contributor.authorGupta, Rameshen_US
dc.date.accessioned1399-07-08T17:43:05Zfa_IR
dc.date.accessioned2020-09-29T17:43:05Z
dc.date.available1399-07-08T17:43:05Zfa_IR
dc.date.available2020-09-29T17:43:05Z
dc.date.issued2020-06-01en_US
dc.date.issued1399-03-12fa_IR
dc.date.submitted2020-04-11en_US
dc.date.submitted1399-01-23fa_IR
dc.identifier.citationSaanvi, Alisha, Gupta, Ramesh. (2020). Development the Computational Fluid Dynamics in Nanocrystal Technology. Medbiotech Journal, 04(02), 87-92. doi: 10.22034/mbt.2020.109679en_US
dc.identifier.issn2209-2528
dc.identifier.issn2209-2536
dc.identifier.urihttps://dx.doi.org/10.22034/mbt.2020.109679
dc.identifier.urihttp://www.medbiotech.net/article_109679.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/27605
dc.description.abstractChemical vapor transport (CVT)) is known as one of the most efficient methods of synthesizing nanocrystals. In order to investigate the underlying phenomena in CVT processes, especially the growth rate and growth quality in relation to total pressure, temperatures of source and crystal ends, as well as the entangled chemical reactions, CFD modeling is pursued as a powerful and effective tool in lieu of expensive experimental work. CFD modeling has become an important component of the research or a new research methodology and will become increasingly important for simplifying the investigation of phenomena in processes. This paper is presented on how CFD modeling approach can be used as a research methodology in sciences and engineering.   Two-dimensional numerical modeling on closed ampoule chemical vapor transport of ZnS–I2 system is conducted. The transport rate (TR) and its transition from diffusion-dominated to convection-dominated regimes in relation to total pressure, average temperature is studied intensively. Modeling results reveal that, the transition of TR from diffusion-dominated to convection-dominated regimes depends on P. Compared to the experimental literature values for all growth regimes, the modeling results agree with the experimental data.en_US
dc.format.extent372
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherIranian-Australian Community of Science http://irausci.iren_US
dc.relation.ispartofMedbiotech Journalen_US
dc.relation.isversionofhttps://dx.doi.org/10.22034/mbt.2020.109679
dc.subjectresearch methodologyen_US
dc.subjectCFD modelingen_US
dc.subjectChemical Vapor Transporten_US
dc.subjectTransport Phenomenaen_US
dc.titleDevelopment the Computational Fluid Dynamics in Nanocrystal Technologyen_US
dc.typeTexten_US
dc.typeOriginal Articleen_US
dc.contributor.departmentDepartment of Chemistry, Indian Institute for Advanced Materials, Indiaen_US
dc.contributor.departmentDepartment of Chemistry, Indian Institute for Advanced Materials, Indiaen_US
dc.citation.volume04
dc.citation.issue02
dc.citation.spage87
dc.citation.epage92
nlai.contributor.orcid0000-0001-5565-8190


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