This book illustrates the computational framework based on knowledge of
flow and mass transfer together with optimization techniques to solve
problems relevant to micromixing technology. The authors provide a
detailed analysis of the different numerical techniques applied to the
design of micromixers. Flow and mixing analysis is based on both the
Eulerian and Lagrangian approaches; relative advantages and
disadvantages of the two methods and suitability to different types of
mixing problems are analysed. The book also discusses the various facets
of numerical schemes subjected to discretization errors and
computational grid requirements. Since a large number of studies are
based on commercial computational fluid dynamics (CFD) packages,
relevant details of these packages to the mixing problem using them are
presented. Numerical optimization techniques coupled with CFD analysis
of flow and mixing have proved to be an important tool for micromixers
design, and therefore, are an important part of the book. These
techniques are presented briefly, and focus is on surrogate modeling and
optimization applied to design of micromixers.