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Automated process and geometry design optimization of a coal combustion reactor
Descriptive
TitleInfo
Title
Automated process and geometry design optimization of a coal combustion reactor
Name
(type = personal)
NamePart
(type = family)
Salahi
NamePart
(type = given)
Sara
NamePart
(type = date)
1982-
DisplayForm
Sara Salahi
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Knight
NamePart
(type = given)
Doyle D.
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Doyle D. Knight
Affiliation
Advisory Committee
Role
RoleTerm
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chair
Name
(type = personal)
NamePart
(type = family)
Diez
NamePart
(type = given)
F. Javier
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F. Javier Diez
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Shojaei Zadeh
NamePart
(type = given)
Shahab
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Shahab Shojaei Zadeh
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Richter
NamePart
(type = given)
Gerard R.
DisplayForm
Gerard R. Richter
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - New Brunswick
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school
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Text
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theses
OriginInfo
DateCreated
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2012
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(type = degree)
2012-01
CopyrightDate
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2012
Place
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(type = code)
xx
Language
LanguageTerm
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(type = code)
eng
Abstract
(type = abstract)
The importance of design of an optimized and efficient combustion or gasification system, the complexity of such an optimization problem with conflicting objectives and the inadequacy of traditional optimization methods in searching the entire design space and their random nature, presents the significant importance of proposing an automated multi-objective optimization method in the field of combustion and gasification design. In the current research, automated multi-objective optimization has been implemented in geometry and process design of a coal combustion reactor. Coal particles are mixed with air and are injected into the reactor via four tangential inlets to create swirl flow. A combination of single phase and multi-phase reactions has been considered to simulate the combustion process. All the steps of geometry creation, grid generation and CFD simulation have been integrated automatically using macro files to run in batch mode in an optimization platform, i.e., modeFrontier. Three multi-objective optimization problems have been solved with two, four and six input variables. The ε-constraint method has been implemented for multi-objective optimization. Each multi-objective optimization problem consists of individual single-objective optimization problems which are solved by the SIMPLEX method. Two conflicting objectives, i.e., NO mass fraction and CH4 mass fraction, have been selected for all optimization problems. Results from all single objective optimizations have been summarized to obtain the Pareto Set. It is presented that automated multi-objective optimization is a reliable and promising method to integrate CAD and CFD tools with optimization methods in an automated process to perform faster, more accurate, more efficient and more cost-effective designs in the field of combustion and gasification.
Subject
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Topic
Mechanical and Aerospace Engineering
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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Identifier
ETD_3785
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electronic resource
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application/pdf
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text/xml
Extent
xii, 123 p. : ill.
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Sara Salahi
Subject
(authority = ETD-LCSH)
Topic
Combustion reactors--Design and construction
Subject
(authority = ETD-LCSH)
Topic
Structural optimization
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000064171
RelatedItem
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3MG7NJ6
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Salahi
GivenName
Sara
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2012-01-05 11:39:12
AssociatedEntity
Name
Sara Salahi
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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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