Fast Spectral Formulations of Thin Plate Laser Heating with GPU Implementation

Vista sencilla de ítem
dc.contributor.authorMejia-Parra D.
dc.contributor.authorArbelaiz A.
dc.contributor.authorMoreno A.
dc.contributor.authorPosada J.
dc.contributor.authorRuiz-Salguero O.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería Mecánicaspa
dc.contributor.researchgroupLaboratorio CAD/CAM/CAEspa
dc.date.accessioned2021-04-16T21:24:57Z
dc.date.available2021-04-16T21:24:57Z
dc.date.issued2020-01-01
dc.description.abstractIn the context of numerical methods, the problem of frequency-domain (spectral) simulations is crucial for the solution of Partial Differential Equations. Fast Fourier Transform (FFT) algorithms significantly reduce the computational cost of such simulations and enable parallelization using Graphics Processing Units (GPUs). In the particular subdomain of laser heating/cutting of rectangular metal plates, fast simulation is required for tool path planning, parameter optimization and additive manufacturing. The currently used methods include frequency-domain analytic solutions for single-beam and multi-beam laser heating. However, the problem of formulating these spectral problems in terms of Fourier methods and implementing them in efficient manner remains. To overcome these limitations, this article presents two different schemes that translate the problem of laser beam heating of metal plates into equivalent FFT problems. The results show significant improvements in terms of executions times, being 100× faster than current state-of-the-art algorithms. Future work needed involves the inclusion of stress analysis, complex plate geometries and non-constant material properties for the plate. © 2020 IEEE.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=12214
dc.identifier.doi10.1109/MACISE49704.2020.00029
dc.identifier.isbn9781728166957
dc.identifier.otherSCOPUS;2-s2.0-85085114145
dc.identifier.urihttp://hdl.handle.net/10784/29512
dc.language.isoengspa
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85085114145&doi=10.1109%2fMACISE49704.2020.00029&partnerID=40&md5=ed229f396c7612a530fa8d63b47fc976
dc.rightsInstitute of Electrical and Electronics Engineers Inc.
dc.sourceProceedings - 2nd International Conference On Mathematics And Computers In Science And Engineering, Macise 2020
dc.subject.keyword3D printerseng
dc.subject.keywordComputer graphicseng
dc.subject.keywordFast Fourier transformseng
dc.subject.keywordFrequency domain analysiseng
dc.subject.keywordHeatingeng
dc.subject.keywordLaser beamseng
dc.subject.keywordNumerical methodseng
dc.subject.keywordProgram processorseng
dc.subject.keywordStress analysiseng
dc.subject.keywordAnalytic solutioneng
dc.subject.keywordComputational costseng
dc.subject.keywordFast Fourier transform algorithmeng
dc.subject.keywordGPU implementationeng
dc.subject.keywordLaser beam heatingeng
dc.subject.keywordParameter optimizationeng
dc.subject.keywordState-of-the-art algorithmseng
dc.subject.keywordTool path planningeng
dc.subject.keywordGraphics processing uniteng
dc.titleFast Spectral Formulations of Thin Plate Laser Heating with GPU Implementationeng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

Archivos

Colecciones

Documento de conferencia