Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53240
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dc.contributor.authorCarlos O. Maidanaen_US
dc.date.accessioned2018-09-04T09:45:44Z-
dc.date.available2018-09-04T09:45:44Z-
dc.date.issued2014-01-01en_US
dc.identifier.issn21915318en_US
dc.identifier.issn2191530Xen_US
dc.identifier.other2-s2.0-85028839137en_US
dc.identifier.other10.1007/978-3-319-09030-6_4en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028839137&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/53240-
dc.description.abstract© 2014, The Author(s). The complexity found in solving engineering problems and analyzing its physical phenomena leads to the development of computational methods and techniques to find numerical solutions to the set of differential equations describing the process under study. The methods used in computational MHD are mainly a combination of techniques employed in computational fluid dynamics and computational electromagnetism. The complexity arises due to the presence of a magnetic field and its coupling with the fluid. One of the important issues found is to numerically maintain the conservation of magnetic flux condition to avoid any unphysical effects. A brief description of finite elements, finite differences, finite difference time domain, and Monte Carlo methods is presented with the intention of providing a general understanding of the computational and numerical methods used in computational engineering science and computational physics.en_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectChemical Engineeringen_US
dc.subjectEnergyen_US
dc.subjectEngineeringen_US
dc.subjectMaterials Scienceen_US
dc.subjectMathematicsen_US
dc.titleComputational methodsen_US
dc.typeBook Seriesen_US
article.title.sourcetitleSpringerBriefs in Applied Sciences and Technologyen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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