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Strategies for process control and tablet diversion in a direct compaction process

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TitleInfo
Title
Strategies for process control and tablet diversion in a direct compaction process
Name (type = personal)
NamePart (type = family)
Nunes de Barros
NamePart (type = given)
Fernando
NamePart (type = date)
1992-
DisplayForm
Fernando Nunes de Barros
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Singh
NamePart (type = given)
Ravendra
DisplayForm
Ravendra Singh
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Ramachandran
NamePart (type = given)
Rohit
DisplayForm
Rohit Ramachandran
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Cuitino
NamePart (type = given)
Alberto
DisplayForm
Alberto Cuitino
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2018
DateOther (qualifier = exact); (type = degree)
2018-10
CopyrightDate (encoding = w3cdtf)
2018
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
The increasing array of challenges faced by the pharmaceutical industry during drug development has led to a push for more efficient manufacturing techniques. With the implementation of continuous manufacturing, the importance of process modeling and control has become evident, being subject of multiple studies. Dynamic models with fast execution speeds are needed for the development of control strategies. Additionally, as robust as a control system can be, it is still not possible to ensure that the entirety of a production run is within quality specifications. For this reason, strategies for material diversion in real time need to be implemented.
The first part of this work focuses on the modeling of the tablet compaction operation. The experimental residence time distribution (RTD) of the tablet compaction process is determined through tracer experiments, and the resulting data is used to generate and validate an RTD model based on two different approaches. A framework for the development of control relevant dynamic models is then introduced. To exemplify the presented framework, a validated dynamic model for the tablet compaction operation is created. An in silico study using this model is conducted to evaluate different control algorithms and strategies for tablet compaction. One of the evaluated control strategies is selected and successfully implemented in a direct compaction pilot plant to demonstrate the applicability of the validated model for control strategy development.
In the second part of this thesis, a framework for the implementation of a material diversion system based on RTD is presented. A tablet diversion system is created according to the introduced framework, and the proposed diversion system is implemented in a commercial control platform, where its functionality is demonstrated using the developed RTD model and a simulated input.
Subject (authority = RUETD)
Topic
Chemical and Biochemical Engineering
Subject (authority = LCSH)
Topic
Pharmaceutical chemistry
Subject (authority = LCSH)
Topic
Drug factories
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_9264
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (ix, 124 pages : illustrations)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3PZ5DFN
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Nunes de Barros
GivenName
Fernando
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2018-09-27 07:37:39
AssociatedEntity
Name
Fernando Nunes de Barros
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-10-04T17:08:18
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2018-10-04T17:08:18
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