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Informationen zum Autor Larry A. Glasgow began his teaching career at Kansas State University in 1978 and taught nearly all of the classes the department of chemical engineering offers, earning numerous teaching awards throughout his 38-year long career before retiring in 2016. Glasgow's research areas of focus concern the interaction of turbulence with fluid-borne entities in multi-phase processes, including flocculation, aggregate breakage and aggregate deformation. In addition, he has investigated bubble formation, coalescence and breakage in aerated reactors, the effects of energetic interfacial phenomena upon cells in culture, and the impulsive distribution of small particles in air-filled chambers. Glasgow has also authored multiple publications, as well as two books: Transport Phenomena: An Introduction to Advanced Topics (2010), and Applied Mathematics for Science and Engineering (2014). Klappentext Bring mathematical principles to bear on engineering problems with this updated text The evolution of industrial processes has resulted in greater emphasis upon analytical and numerical problem solving. Process improvement through experimentation is impractical and consequently engineers must rely upon computational and technical analysis. Furthermore, the ease with which time-series data can be collected and processed has made harmonic signal interpretation routine. Thus, the ability of engineers to analyze, model, compute, and interpret process phenomena is crucial to professional practice. Problem Solving in Engineering meets these needs with a foundational introduction to mathematical techniques in applied sciences and engineering. Incorporating examples from a range of scientific fields, it communicates principles that can be adapted to many hardware-software combinations. Now fully updated to reflect the latest research and applications, it remains an essential tool for engineers and applied scientists everywhere. Readers of the second edition will also find: Extensive time devoted to problem formulationDetailed discussion of integro-differential equations and the processing and analysis of time-series dataThe use of vorticity transport for the solution of momentum, heat, and mass transfer problems in two dimensionsExamples and problems drawn from aviation, telegraphy, structural failures, railroad operation, chemical processes, automatic process control, seismology, neutron diffusion, gravitation, and quantum theoryMany additional narrative-type exercises written to appeal to students who find problems in context better suited to their learning styleSolutions manual available for qualified instructors Problem Solving in Engineering is ideal for advanced undergraduate, graduate students, and technical professionals in the physical sciences, specifically chemical, civil, biochemical, electrical, and mechanical engineering, as well as physics, chemistry, and biology. Inhaltsverzeichnis Preface xiii About the Companion Website xv 1 Problem Formulation, Models, and Solution Strategies 1 1.1 Introduction 1 1.1.1 Rationale for Modeling and Some Unwanted Complications 5 1.2 Algebraic Equations: Force Resolution and Vapor-Liquid Equilibria (VLE) 6 1.3 Macroscopic Balances-Lumped-Parameter Models 8 1.3.1 Recognizing When a Model Suggests Potential Hazards 10 1.4 Force Balances-Newton's Second Law of Motion 10 1.5 Distributed Parameter Models-Microscopic Balances 11 1.5.1 Fluid Flow and Heat Transfer Combined 14 1.6 Using the Equations of Change Directly 14 1.7 Discretizing a Problem that is Continuous in Time or Space 16 1.8 A Contrast: Deterministic Models and Stochastic Processes 19 1.9 Problems with Integer-Valued Variables 20 1.10 Empiricisms and Data Interpretation 25 1.10.1 Energy Output of Candle Flame 25 1.10.2 Corre...
