Zobrazit minimální záznam

dc.contributor.advisorŠklubalová, Zdeňka
dc.creatorAzar, Malek
dc.date.accessioned2017-06-01T09:03:19Z
dc.date.available2017-06-01T09:03:19Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/20.500.11956/77525
dc.description.abstractCharles University in Prague, Faculty of Pharmacy in Hradec Králové Department of: Pharmaceutical Technology Consultant: Assoc. Prof. PharmDr. Zdenka Sklubalova, Ph.D. Student: Malek Azar Title of Thesis: Flow equation of granules prepared from sorbitol The aim of this thesis is to study the flow and compression behaviour of size fractions of the granules prepared from sorbitol by wet granulation method. The granules were classified according to their size. A bimodal distribution was observed. The polynomial relationship between angle of repose and the particle size was detected as well as between the latter and bulk density measured in a volumeter. The mass flow rate Q (g/s) through the circular orifice of a conical stainless steel hopper was measured and a mathematical model of Jones - Pilpel power regression was applied to describe the relationship between the mass flow rate and the diameter of the hopper orifice. Using parameters of the generated equation, the average precision of mass flow rate prediction of 4.29 % was detected for the granules regardless of the particle size.en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Farmaceutická fakulta v Hradci Královécs_CZ
dc.titleFlow equation of granules prepared from sorbitol.en_US
dc.typediplomová prácecs_CZ
dcterms.created2016
dcterms.dateAccepted2016-06-02
dc.description.departmentDepartment of Pharmaceutical Technologyen_US
dc.description.departmentKatedra farmaceutické technologiecs_CZ
dc.description.facultyFarmaceutická fakulta v Hradci Královécs_CZ
dc.description.facultyFaculty of Pharmacy in Hradec Královéen_US
dc.identifier.repId160044
dc.contributor.refereeMužíková, Jitka
dc.identifier.aleph002091294
thesis.degree.nameMgr.
thesis.degree.levelmagisterskécs_CZ
thesis.degree.disciplineFarmaciecs_CZ
thesis.degree.disciplinePharmacyen_US
thesis.degree.programFarmaciecs_CZ
thesis.degree.programPharmacyen_US
uk.thesis.typediplomová prácecs_CZ
uk.taxonomy.organization-csFarmaceutická fakulta v Hradci Králové::Katedra farmaceutické technologiecs_CZ
uk.taxonomy.organization-enFaculty of Pharmacy in Hradec Králové::Department of Pharmaceutical Technologyen_US
uk.faculty-name.csFarmaceutická fakulta v Hradci Královécs_CZ
uk.faculty-name.enFaculty of Pharmacy in Hradec Královéen_US
uk.faculty-abbr.csFaFcs_CZ
uk.degree-discipline.csFarmaciecs_CZ
uk.degree-discipline.enPharmacyen_US
uk.degree-program.csFarmaciecs_CZ
uk.degree-program.enPharmacyen_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enCharles University in Prague, Faculty of Pharmacy in Hradec Králové Department of: Pharmaceutical Technology Consultant: Assoc. Prof. PharmDr. Zdenka Sklubalova, Ph.D. Student: Malek Azar Title of Thesis: Flow equation of granules prepared from sorbitol The aim of this thesis is to study the flow and compression behaviour of size fractions of the granules prepared from sorbitol by wet granulation method. The granules were classified according to their size. A bimodal distribution was observed. The polynomial relationship between angle of repose and the particle size was detected as well as between the latter and bulk density measured in a volumeter. The mass flow rate Q (g/s) through the circular orifice of a conical stainless steel hopper was measured and a mathematical model of Jones - Pilpel power regression was applied to describe the relationship between the mass flow rate and the diameter of the hopper orifice. Using parameters of the generated equation, the average precision of mass flow rate prediction of 4.29 % was detected for the granules regardless of the particle size.en_US
uk.file-availabilityV
uk.publication.placeHradec Královécs_CZ
uk.grantorUniverzita Karlova, Farmaceutická fakulta v Hradci Králové, Katedra farmaceutické technologiecs_CZ
dc.identifier.lisID990020912940106986


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