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Process monitoring for temporal-spatial modeling of laser powder bed fusion (L-PBF) based metal additive manufacturing
Descriptive
TitleInfo
Title
Process monitoring for temporal-spatial modeling of laser powder bed fusion (L-PBF) based metal additive manufacturing
Name
(type = personal)
NamePart
(type = family)
Shaurya
NamePart
(type = given)
Animek
NamePart
(type = date)
1991-
DisplayForm
Animek Shaurya
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Ozel
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(type = given)
Tugrul
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Tugrul Ozel
Affiliation
Advisory Committee
Role
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(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Baykal-Gursoy
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(type = given)
Melike
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Melike Baykal-Gursoy
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Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Guo
NamePart
(type = given)
Weihong
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Weihong Guo
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
School of Graduate Studies
Role
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(authority = RULIB)
school
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Text
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theses
OriginInfo
DateCreated
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2018
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(type = degree)
2018-05
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2018
Place
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(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Laser powder bed fusion (L-PBF) is an additive manufacturing process which can produce nearly fully dense parts with complex geometry by using laser power which follows layer-to-layer scanning strategies on powder material with pre-specified powder layer thickness. In L-PBF, the powder material is fully melted and then solidified to achieve the above target. It offers high flexibility in manufacturing complex shapes reducing high tooling cost with its simple and quick setup and providing wide range of high strength alloys to work with. The parts fabricated through L-PBF are widely used for industrial applications such as in automobile, aerospace and medical industries. Various process parameters and scan strategies affect the build quality and structural integrity of the finished parts. In-process data analytics and statistical monitoring techniques are required to detect meltpool area, localize material spatter and control the process. High speed video imaging provides some process insight for identifying meltpool and spatter and can be integrated into process monitoring and control for L-PBF advanced manufacturing process. In this thesis, we studied the use of high speed camera videos for in-situ monitoring of L-PBF of nickel alloy 625 to detect meltpool, spatter, and over melting regions to improve the process control capability. The quantities that can be measured via in-situ sensing can be referred to as process signatures and can represent the source of information to detect possible defects. The video images are processed for temporal-spatial analysis by using principal component analysis and T2 statistics for identifying the history of pixel intensity levels through the process monitoring. These results are correlated as over melting and spatter regions. The results obtained from these studies will provide information about the process parameters which can be used for further validation of modelling studies or for industrial purposes.
Subject
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Topic
Industrial and Systems Engineering
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_8776
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xii, 88 p. : ill.)
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
Lasers--Industrial applications
Note
(type = statement of responsibility)
by Animek Shaurya
RelatedItem
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TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
Location
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T34F1V5S
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
Shaurya
GivenName
Animek
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(point = start)
2018-04-09 11:22:38
AssociatedEntity
Name
Animek Shaurya
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
RULTechMD
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ETD
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windows xp
DateCreated
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2018-08-20T18:07:46
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1.7
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