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dc.contributor.authorTyflopoulos, Evangelos
dc.contributor.authorSteinert, Martin
dc.date.accessioned2022-05-10T11:37:34Z
dc.date.available2022-05-10T11:37:34Z
dc.date.created2020-06-29T12:01:48Z
dc.date.issued2020
dc.identifier.citationApplied Sciences. 2020, 10 (13), .en_US
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/11250/2995058
dc.description.abstractTopology and Parametric Optimization are two of the most implemented material optimization approaches. However, it is not clear in the literature which optimization procedure, or possible combination of them, can lead to the best results based on material reduction and optimization time. In this paper, a quantitative comparison of different topology and parametric optimization design processes is conducted using three benchmark examples: A Hollow Plate, an L-Bracket, and a Messerschmitt–Bölkow–Blohm Beam (MBB-Beam). Ten different design processes that were developed in each case study resulted in 30 simulations in total. The design processes were clustered in three main design workflows: The Topology Optimization, the Parametric Optimization, and the Simultaneous Parametric and Topology Optimization. Their results were compared with respect to mass, stress, and time. The Simultaneous Parametric and Topology Optimization approach gave the lightest design solutions without compromising their initial strength but also increased the optimization time. The findings of this paper will help the designers in the pursuit of lightweight structures and will create the basis for the identification of the ideal material optimization procedure.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTopology and Parametric Optimization-Based Design Processes for Lightweight Structuresen_US
dc.title.alternativeTopology and Parametric Optimization-Based Design Processes for Lightweight Structuresen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber24en_US
dc.source.volume10en_US
dc.source.journalApplied Sciencesen_US
dc.source.issue13en_US
dc.identifier.doi10.3390/app10134496
dc.identifier.cristin1817532
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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