High performance computing for modelling of stereolithography process

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dc.identifier.uri http://dx.doi.org/10.15488/12538
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/12637
dc.contributor.advisor Wriggers, Peter
dc.contributor.advisor Gosselet, Pierre
dc.contributor.advisor Weißenfels, Christian
dc.contributor.author Kumar, Sandeep eng
dc.date.accessioned 2022-07-29T09:58:45Z
dc.date.available 2022-07-29T09:58:45Z
dc.date.issued 2022
dc.identifier.citation Kumar, Sandeep: High Performance Computing for Modelling of Stereolithography Process. Hannover : Institut für Kontinuumsmechanik, Leibniz Universität Hannover, 2022 (Leibniz Universität Hannover, Institut für Kontinuumsmechanik ; B 22/1), viii, 98 S. ISBN 978-3-941302-46-4 eng
dc.description.abstract In this dissertation, a state-of-the-art 3D computational model has been developed for Stereolithography process to investigate the evolution of properties in a multi-physics framework using Stabilized Optimal Transportation Meshfree (OTM) method based on a continuum approach. In order to accelerate the computational performance, HPC framework of the OTM method has been developed. Stereolithography process is a complex process in the sense that several physical processes are involved therein. In this work, some of the key phenomena incorporated in the modeling framework are highly coupled thermo-chemo-mechanical evolution of resin properties and propagation of the UV laser through the resin. The photopolymerization is driven by the interaction of fluid resin with the UV light and consequently generates heat due to its exothermic nature and resulting in building up of mechanical stresses. The numerical and geometrical complexities arising from these phenomena pose serious challenges and complications in grid-based techniques such as Finite element (FE). Generally, such issues are referred to as mesh distortion. OTM based computational modeling is one solution to these issues. The method is quite new in the field of Stereolithography simulation and it is efficient in capturing the deformations generated during printing process. Moreover, parallelization using MPI with an objective for scalability on large scale CPU clusters reduces the computational efforts. And, the obtained results leads to highly scalable results. The developed tool can be employed to optimize the material and process parameters during the printing process to achieve improved accuracy in the printed parts. eng
dc.language.iso eng eng
dc.publisher Hannover : Institut für Kontinuumsmechanik, Leibniz Universität Hannover
dc.relation.ispartofseries Leibniz Universität Hannover, Institut für Kontinuumsmechanik;B22/1
dc.rights CC BY 3.0 DE eng
dc.rights.uri http://creativecommons.org/licenses/by/3.0/de/ eng
dc.subject High Performance Computing eng
dc.subject Stereolithography eng
dc.subject Multiphysical coupling eng
dc.subject Meshfree Method eng
dc.subject High Performance Computing ger
dc.subject Stereolithographie ger
dc.subject Multiphysikalische Kopplung ger
dc.subject Meshfree Methode ger
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau eng
dc.title High performance computing for modelling of stereolithography process eng
dc.type DoctoralThesis eng
dc.type Text eng
dc.relation.isbn 978-3-941302-46-4
dcterms.extent viii, 98 S.
dc.description.version publishedVersion eng
tib.accessRights frei zug�nglich eng

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