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dc.contributor.editorIonescu, Adela
dc.date.accessioned2023-12-01T16:35:43Z
dc.date.available2023-12-01T16:35:43Z
dc.date.issued2018
dc.identifierONIX_20231201_9789535137917_1109
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/130000
dc.description.abstractThis book is the result of a careful selection of contributors in the field of CFD. It is divided into three sections according to the purpose and approaches used in the development of the contributions. The first section describes the "high-performance computing" (HPC) tools and their impact on CFD modeling. The second section is dedicated to "CFD models for local and large-scale industrial phenomena." Two types of approaches are basically contained here: one concerns the adaptation from global to local scale, - e.g., the applications of CFD to study the climate changes and the adaptations to local scale. The second approach, very challenging, is the multiscale analysis. The third section is devoted to "CFD in numerical modeling approach for experimental cases." Its chapters emphasize on the numerical approach of the mathematical models associated to few experimental (industrial) cases. Here, the impact and the importance of the mathematical modeling in CFD are focused on. It is expected that the collection of these chapters will enrich the state of the art in the CFD domain and its applications in a lot of fields. This collection proves that CFD is a highly interdisciplinary research area, which lies at the interface of physics, engineering, applied mathematics, and computer science.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulationen_US
dc.subject.othercfd, climate change, optimization, heat transfer, 3d printing, genetic algorithm
dc.titleComputational Fluid Dynamics
dc.title.alternativeBasic Instruments and Applications in Science
dc.typebook
oapen.identifier.doi10.5772/intechopen.68688
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535137917
oapen.relation.isbn9789535137900
oapen.relation.isbn9789535140641
oapen.imprintIntechOpen
oapen.pages410


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