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Nonsteady Flame Propagation provides information pertinent to flame propagation in gaseous media. This book focuses on linearized treatments and the comparison of their results with experimental observations. Organized into nine chapters, this book begins with an overview of the challenge of nonlinear problems and examines the essentially nonlinear character of the flame phenomena, which has been artificially suppressed in analyses by the use of linearized perturbation treatments. This text then summarizes the development regarding rocket-shaped burners. Other chapters consider the advantages as well as the limitations of linearized analyses. This book discusses as well a general treatment of the discontinuous-flame-front model and summarizes the results of studies of burner that use secondary air. The final chapter deals with re-examining the possibilities of using pulsating combustion in propulsion or in other applications. This book is a valuable resource for chemical engineers, chemists, scientists, and research workers.
Extensively using experimental and numerical illustrations, CombustionPhenomena: Selected Mechanisms of Flame Formation, Propagation, and Extinction provides a comprehensive survey of the fundamental processes of flame formation, propagation, and extinction. Taking you through the stages of combustion, leading experts visually display, mathematically explain, and clearly theorize on important physical topics of combustion. After a historical introduction to the field, they discuss combustion chemistry, flammability limits, and spark ignition. They also study counterflow twin-flame configuration, flame in a vortex core, the propagation characteristics of edge flames, instabilities, and tulip flames. In addition, the book describes flame extinction in narrow channels, global quenching of premixed flames by turbulence, counterflow premixed flame extinction limits, the interaction of flames with fluids in rotating vessels, and turbulent flames. The final chapter explores diffusion flames as well as combustion in spark- and compression-ignition engines. It also examines the transition from deflagration to detonation, along with the detonation wave structure. With downloadable resources of images that beautifully illustrate a range of combustion phenomena, this book facilitates a practical understanding of the processes occurring in the conception, spread, and extinguishment of a flame. It will help you on your way to finding solutions to real issues encountered in transportation, power generation, industrial processes, chemical engineering, and fire and explosion hazards.
This book presents new data on combustion processes for practical applications, discussing fire safety issues in the development of flame arresters and the use of noble metals in hydrogen recombiners for nuclear power plants. It establishes the basic principles of production of metal nanostructures, namely nanopowders of metals and compact products made of them, with the preservation of the unique properties of nanoproducts.
Volume II of the High Speed Aerodynamics and Jet Propulsion series. The series which stress the more fundamental aspects of the various phenomena that make up the broad field of aeronautical science. The aerodynamicist and gas dynamicist will find both the classical and the important new concepts of gas dynamics presented in an informative and stimulating manner. Specialists in the study of gas dynamics have contributed Sections as follows: H. S. Tsien, The Equations of Gas Dynamics; L. Crocco, One-Dimensional Treatment of Steady Gas Dynamics; A. Kantrowitz, One-Dimensional Treatment of Nonsteady Gas Dynamics; W. Hayes, The Basic Theory of Gasdynamic Discontinuities; H. Polachek and R. J. Seeger, Shock Wave Interactions; H. G. Stever, Condensation Phenomena in High Speed Flows; T. H. Von Karman, H. W. Emmons, G. I. Taylor, and R. S. Tankin, Gas Dynamics of Combustion and Detonation; S. Schaaf and P. Chambre, Flow of Rarefied Gases. Originally published in 1958. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
This Research Topic is Volume III of a series. The previous volume can be found here: Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods - Volume II and Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods Natural and engineering disasters, which include landslides, rock fall, rainstorm, dam failure, floods, earthquakes, road and building disasters and wildfires, appear as results of the progressive or extreme evolution of climatic, tectonic and geomorphological processes and human engineering activities. It is significant to explore the failure mechanism and carry out spatial modeling of these engineering and natural disasters due to their serious harm to the safety of people's lives and property. The data-based methods, including advanced and successful remote sensing, geographic information systems, machine learning and numerical simulation techniques methods, are promising tools to analyze these complex disasters. Machine Learning models such as neurofuzzy logic, decision tree, artificial neural network, deep learning and evolutionary algorithms are characterized by their abilities to produce knowledge and discover hidden and unknown patterns and trends from large databases, whereas remote sensing and Geographic Information Systems appear as significant technology equipped with tools for data manipulation and advanced mathematical modeling. What is more, the numerical simulation can also be acknowledged as advanced technologies for discovering hidden failure mechanism of disasters. The main objective of this Research Topic is to provide a scientific forum for advancing the successful implementation of Machine Learning (ML) and numerical simulation techniques in operation rules, failure mechanism, spatial and time series prediction, susceptibility mapping, hazard assessment, vulnerability modeling, risk assessment and early warning of complex natural and engineering disasters.