Fast simulation of laser heating processes on thin metal plates with FFT using CPU/GPU hardware

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dc.citation.journalTitleApplied Sciences-Baseleng
dc.contributor.authorMejia-Parra D.
dc.contributor.authorArbelaiz A.
dc.contributor.authorRuiz-Salguero O.
dc.contributor.authorLalinde-Pulido J.
dc.contributor.authorMoreno A.
dc.contributor.authorPosada J.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Sistemasspa
dc.contributor.researchgroupI+D+I en Tecnologías de la Información y las Comunicacionesspa
dc.creatorMejia-Parra D.
dc.creatorArbelaiz A.
dc.creatorRuiz-Salguero O.
dc.creatorLalinde-Pulido J.
dc.creatorMoreno A.
dc.creatorPosada J.
dc.date.accessioned2021-04-12T20:55:49Z
dc.date.available2021-04-12T20:55:49Z
dc.date.issued2020-01-01
dc.description.abstractIn flexible manufacturing systems, fast feedback from simulation solutions is required for effective tool path planning and parameter optimization. In the particular sub-domain of laser heating/cutting of thin rectangular plates, current state-of-the-art methods include frequency-domain (spectral) analytic solutions that greatly reduce the required computational time in comparison to industry standard finite element based approaches. However, these spectral solutions have not been presented previously in terms of Fourier methods and Fast Fourier Transform (FFT) implementations. This manuscript presents four different schemes that translate the problem of laser heating of rectangular plates into equivalent FFT problems. The presented schemes make use of the FFT algorithm to reduce the computational time complexity of the problem from O(M2N2) to O(MN log(MN)) (with M× N being the discretization size of the plate). The test results show that the implemented schemes outperform previous non-FFT approaches both in CPU and GPU hardware, resulting in 100× faster runs. Future work addresses thermal/stress analysis, non-rectangular geometries and non-linear interactions (such as material melting/ablation, convection and radiation heat transfer). © 2020 by the authors.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=12199
dc.identifier.doi10.3390/app10093281
dc.identifier.issn20763417
dc.identifier.issn14545101
dc.identifier.otherWOS;000535541900294
dc.identifier.otherSCOPUS;2-s2.0-85085130470
dc.identifier.urihttp://hdl.handle.net/10784/28652
dc.language.isoengeng
dc.publisherUniversitatea Politehnica Bucuresti
dc.relationDOI;10.3390/app10093281
dc.relationWOS;000535541900294
dc.relationSCOPUS;2-s2.0-85085130470
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85085130470&doi=10.3390%2fapp10093281&partnerID=40&md5=99dcc5730561c5e2269c271dea4cf2c5
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/2076-3417
dc.sourceApplied Sciences-Basel
dc.subjectFast fourier transformeng
dc.subjectGPUeng
dc.subjectIndustry 4.0eng
dc.subjectLaser heatingeng
dc.subjectRectangular metal plateeng
dc.subjectSpectral methodeng
dc.titleFast simulation of laser heating processes on thin metal plates with FFT using CPU/GPU hardwareeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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