Staff View
Parallel solution to multi-scale, multi-dimensional coupled DEM-PBM model for high shear granulation using high performance computing

Descriptive

TitleInfo
Title
Parallel solution to multi-scale, multi-dimensional coupled DEM-PBM model for high shear granulation using high performance computing
Name (type = personal)
NamePart (type = family)
Sampat
NamePart (type = given)
Chaitanya
NamePart (type = date)
1993-
DisplayForm
Chaitanya Sampat
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Ramachandran
NamePart (type = given)
Rohit
DisplayForm
Rohit Ramachandran
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Ierapetritou
NamePart (type = given)
Marianthi
DisplayForm
Marianthi Ierapetritou
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Singh
NamePart (type = given)
Ravendra
DisplayForm
Ravendra Singh
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)
2019
DateOther (qualifier = exact); (type = degree)
2019-01
CopyrightDate (encoding = w3cdtf)
2019
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Particulate processes are prevalent in the pharmaceutical industry but, the physics underlying‎ these processes are complicated. The particle-level models used to describe these systems require large amounts of computation to solve which makes simulations slow. Another approach to model these systems is less accurate‎ bulk model which does not capture all the particle level data but is more efficient to simulate and requires lesser computational power. A quicker and a more accurate way to model such systems is to use a multi-scale model ‎i.e. use the particle-scale data into a bulk model. Using a coupled model does not decrease the time taken by each individual component of the simulation, thus there is also a need to increase the speed of the separate simulations.
In this work, a unidirectional multi-scale model‎ was used to model the high shear wet granulation process. A multi-dimensional population balance‎ model (PBM) was developed with a mechanistic kernel, which obtained‎ collision data from the discrete element modeling (DEM) simulation. The PBM was run in parallel‎ using MPI + OMP hybrid technique. The DEM simulations were performed on LIGGGHTS, which‎ runs in parallel using MPI. Speedup of about 14 times was obtained for the PBM simulations‎ and around 12 for the DEM simulations. This coupling was performed using the radical pilot‎ for scaling studies from 1 to 128 cores for the PBM and up to 256 cores for the DEM. A further improvement to the PBM code was also done by developing a code in CUDA C++ such that it could utilize up to 1024 cores on the NVIDIA graphical processor units (GPU). Using‎ this developed framework, the granulation process has been modeled accurately much faster than‎ existing approaches in literature
Subject (authority = RUETD)
Topic
Chemical and Biochemical Engineering
Subject (authority = ETD-LCSH)
Topic
Granulation--Mathematical models
Subject (authority = ETD-LCSH)
Topic
Particles--Mathematical models
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_9455
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (52 pages) : illustrations
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Chaitanya Sampat
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/t3-jssh-ss48
Genre (authority = ExL-Esploro)
ETD graduate
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Sampat
GivenName
Chaitanya
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2018-12-21 11:23:12
AssociatedEntity
Name
Chaitanya Sampat
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
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
CreatingApplication
Version
1.5
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2019-01-17T08:09:32
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2019-01-17T08:09:32
ApplicationName
Microsoft® Word 2013
Back to the top
Version 8.3.13
Rutgers University Libraries - Copyright ©2021