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020 _a9789811616020
024 7 _a10.1007/978-981-16-1602-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQC20.7.D55
_b2021 EB
100 1 _aConejo, Alberto N.
_eautor
_4
_4http://id.loc.gov/vocabulary/relators/aut
_9682594
245 1 0 _aFundamentals of Dimensional Analysis :
_bTheory and Applications in Metallurgy
_cby Alberto N. Conejo
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Publishing
_c2021
300 _a1 recurso en línea (XVI, 379 páginas)
_b 88 ilustraciones, 18 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aEngineering (SpringerNature-11647)
490 0 _aEngineering (R0) (SpringerNature-43712)
505 0 _aIntroduction -- Origin and Historic Evolution of Dimensional Analysis -- Units, Dimensions and Dimensional Homogenity -- Dimensionless Numbers -- Rayleigh's Method -- Buckingham´s p Theorem -- Step by Step Method -- Matrix Method -- Inspection Method -- Engineering Problems with Experimental Data -- Applications of Dimensional Analysis in Metallurgy -- Scaling and Similarity -- From Dimensional to Dimensionless Equations. .
520 3 _aThis is the first book which systematically describes an integral approach on dimensional analysis. The amount of textbooks on dimensional analysis is huge, however most of the books start with the definition of the relevant variables. When the variables are given to the reader without prior knowledge on each problem it has serious consequences: the usefulness of dimensional analysis is not appreciated, is not possible to understand the real challenges of this subject and the result, which is a general relationship with dimensionless groups is useless. This book closes the hole in previous books because in addition to describe step by step how to reach the general relationship with dimensionless groups, which creates solid basis of different metallurgical problems to understand the role of the relevant variables. It provides a full description on how to obtain the experimental data and applies the experimental data to transform the general relationship in a particular solution. Once the reader learns how to design the experimental work and uses that information to define the particular solution, it is possible to asses if the selection of variables was adequate or not. The book is useful for both undergraduate and graduate students.
988 _aSpringer_Engineering_2021
650 7 _2embne
_9682595
_aAnálisis dimensional
776 0 8 _iPrinted edition:
_z9789811616013
776 0 8 _iPrinted edition:
_z9789811616037
776 0 8 _iPrinted edition:
_z9789811616044
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-1602-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2022
_dz
_eIG
_zSI