Two-Phase Flow

Theory and Applications

Cl Kleinstreuer

• Éditeur: Routledge
• Année: 2017
• ISBN:
  9781351406482
• Édition: 1
• Sujet: Sciences physiques
• Sous-sujet: Thermodynamique

This graduate text provides a unified treatment of the fundamental principles of two-phase flow and shows how to apply the principles to a variety of homogeneous mixture as well as separated liquid-liquid, gas-solid, liquid-solid, and gas-liquid flow problems, which may be steady or transient, laminar or turbulent.Each chapter contains several sample problems, which illustrate the outlined theory and provide approaches to find simplified analytic descriptions of complex two-phase flow phenomena.This well-balanced introductory text will be suitable for advanced seniors and graduate students in mechanical, chemical, biomedical, nuclear, environmental and aerospace engineering, as well as in applied mathematics and the physical sciences. It will be a valuable reference for practicing engineers and scientists. A solutions manual is available to qualified instructors.

Chapter 1

REVIEW OF SINGLE-PHASE FLOW

A sound understanding of the physics of single-phase flow and a mastery of solution techniques for single-phase flow problems are important prerequisites for studying two-phase or multiphase flow systems. Two-phase flow is best described as the flow of two different kinds of matter, e.g., solid particles in a gas or liquid, gas bubbles in a liquid, or droplets in a gas stream. As always, the objective is to learn to develop mathematical models, here, approximate representations of actual two-phase flow phenomena in terms of differential or integral equations. The (numerical) solutions to the describing equations should produce testable predictions and allow for the analysis of two-phase system variations leading to a deeper understanding and possibly to new or improved system designs.

Traditionally, the answer to a given (flow) problem is obtained by copying suitable equations, submodels, and boundary conditions with their appropriate solution techniques from available sources. This is called “matching” and may result in a good first-step learning experience; however, it should be augmented later on by more independent work, e.g., deriving governing equations, plotting and visualizing results, improving basic submodels, finding new, interdisciplinary applications, exploring new concepts, interpreting observations in a more generalized form, or even pushing the envelope of existing solution techniques. In any case, the triple pedagogical goals of understanding, skills, and design can be achieved only via independent practice, hard work, and creative thinking. ...