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Particle behaviors of printing system using GPU-based discrete element method

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dc.contributor.authorSeo, In Soo-
dc.contributor.authorKim, Ju Hyeon-
dc.contributor.authorShin, Jae Ho-
dc.contributor.authorShin, Sang Woo-
dc.contributor.authorLee, Sang Hwan-
dc.date.accessioned2022-07-16T01:38:17Z-
dc.date.available2022-07-16T01:38:17Z-
dc.date.issued2014-12-
dc.identifier.issn1738-494X-
dc.identifier.issn1976-3824-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/158487-
dc.description.abstractGenerally, Discrete element method (DEM) has been used to analyze the two-component particles behavior in the printing systems. DEM makes it possible to figure out the particle-related complicated phenomena. Nevertheless, DEM has a serious problem that the computation time of the number of particles spends too much time. It has been still considered to be unsuitable method for a real product design tool due to an extremely large computation time. Therefore, we have developed a DEM based simulation tool for the two-component particles. It is applicable to the real product design problems such as a behavior analysis of the toner particles in the electrophotographic process and a GPU based parallel computing method was employed to maximize the computation performance. In the electro-photographic process, we simulated the developer mixing behavior in the agitation process of two-component systems and the two-component development process. The results of the simulations were well matched with experimental results, with less than 15% errors.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisher대한기계학회-
dc.titleParticle behaviors of printing system using GPU-based discrete element method-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.1007/s12206-014-1129-8-
dc.identifier.scopusid2-s2.0-84920655137-
dc.identifier.wosid000347447200026-
dc.identifier.bibliographicCitationJournal of Mechanical Science and Technology, v.28, no.12, pp 5083 - 5087-
dc.citation.titleJournal of Mechanical Science and Technology-
dc.citation.volume28-
dc.citation.number12-
dc.citation.startPage5083-
dc.citation.endPage5087-
dc.type.docTypeArticle-
dc.identifier.kciidART001931418-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Mechanical-
dc.subject.keywordPlusFinite difference method-
dc.subject.keywordPlusPrinting presses-
dc.subject.keywordPlusProduct design-
dc.subject.keywordPlusComputation performance-
dc.subject.keywordPlusCompute Unified Device Architecture(CUDA)-
dc.subject.keywordPlusElectrophotographic process-
dc.subject.keywordPlusGraphic processor units-
dc.subject.keywordPlusPrinting system-
dc.subject.keywordPlusTwo component systems-
dc.subject.keywordPlusTwo-component development process-
dc.subject.keywordPlusTwo-component particles-
dc.subject.keywordPlusGraphics processing unit-
dc.subject.keywordAuthorDiscrete element method (DEM)-
dc.subject.keywordAuthorGraphic processor unit (GPU)-
dc.subject.keywordAuthorCompute unified device architecture (CUDA)-
dc.subject.keywordAuthorPrinting system-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs12206-014-1129-8-
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