Bücher der Reihe Mechanical Engineering Series

This book comprehensively discusses diesel combustion phenomena like ignition delay, fuel-air mixing, rate of heat release, and emissions of smoke, particulate and nitric oxide. This book will also be a good professional book for practising engineers in the field of combustion engines and automotive engineering.

This volume fills the need for a textbook presenting basic governing and constitutive equations, followed by several engineering problems on multiphase flow and transport that are not provided in current advanced texts, monographs, or handbooks.

This book elucidates heat transfer behavior for boiling of dilute emulsions- mixtures of two immiscible fluids- which has received little attention to date. Of the work completed in this area, the majority has been focused on pool boiling where no mean flow is present, and this book is the first major work to be published regarding flow boiling of emulsions. The book includes a comprehensive review and assessment of research on emulsion-based heat transfer. Recent experiments are reported and analyzed to characterize heat transfer in microgap flow boiling via a systematic investigation into the effects of gap size, mass flux, and volume fraction on the heat transfer coefficient and pressure drop. The emulsion used in all experiments comprises droplets of an immiscible electronics cooling fluid suspended in water. The volume provides a complete baseline for flow boiling of water in the microgaps, enabling a determination of the enhancement of the heat transfer coefficient when thedisperse component is present. Moreover, a subset of the data set pertains to flow boiling of dilute emulsions over microporous surfaces. The flow conditions for which the microporous surfaces enhance or degrade heat transfer are presented. Finally, this book provides a discussion of the physical phenomena which affect boiling and a set of nondimensional numbers that can be used for correlation.

This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques.Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.