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This 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.
This 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.
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