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Model-based analysis and dynamic optimization of feeder refill strategy
Descriptive
TitleInfo
Title
Model-based analysis and dynamic optimization of feeder refill strategy
Name
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NamePart
(type = family)
Melkeri
NamePart
(type = given)
Yash Tipanna
NamePart
(type = date)
1994-
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Yash Tipanna Melkeri
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author
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Singh
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Ravendra
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Ravendra Singh
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Advisory Committee
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chair
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Cuitino
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Alberto
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Alberto Cuitino
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Advisory Committee
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internal member
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(type = family)
Ramachandra
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(type = given)
Rohit
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Rohit Ramachandra
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Advisory Committee
Role
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internal member
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Ramachandran
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Rohit
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Rohit Ramachandran
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Advisory Committee
Role
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internal member
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Rutgers University
Role
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degree grantor
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School of Graduate Studies
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school
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theses
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2020
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2020-01
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English
Abstract
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Traditionally, the pharmaceutical industries have been using batch processes for their ease of production of a broad range of products using the same equipment. But due to the increased challenges faced by the pharmaceutical industry and limitations of batch process manufacturing of pharmaceutical products such as controllability and scale-up issues, the pharmaceutical industries have led to come up with more efficient manufacturing techniques and transitioning to the continuous production of pharmaceutical products. To facilitate the speed of transition, the importance of process engineering and optimization through modeling has surfaced. Robust modeling of different unit operations and integration of them create numerous applications. These include analysis of the effect of variation in critical process parameters on the product quality attributes and leads into a reduction in the wastage of time and material via dynamic optimization of a process in comparison to a traditional heuristic experimental based method.
In this work, a model-based method has been proposed to investigate, analyze, and identify the feeder refill strategy. A systematic framework was developed for the dynamic optimization of a unit operation, which was exemplified through the optimization of the refill strategy. The effect of process parameters and material properties on the refill parameters was also investigated.
In this work, a model-based method has been proposed to investigate, analyze, and identify the feeder refill strategy. A systematic framework was developed for the dynamic optimization of a unit operation, which was exemplified through the optimization of the refill strategy. The effect of process parameters and material properties on the refill parameters was also investigated.
Subject
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Topic
Chemical and Biochemical Engineering
Subject
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Topic
Optimization
Subject
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Topic
Pharmaceutical technology
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Rutgers University Electronic Theses and Dissertations
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ETD_10530
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1 online resource (ix, 57 pages) : illustrations
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M.S.
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
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doi:10.7282/t3-mchv-yv84
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
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The author owns the copyright to this work.
RightsHolder
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Name
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Melkeri
GivenName
Yash
Role
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Permission or license
DateTime
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2020-01-10 15:19:45
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Name
Yash Melkeri
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Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
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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.
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2020-01-31
DateTime
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2021-01-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after January 30th, 2021.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2020-01-13T12:51:33
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2020-01-13T12:51:33
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