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This extended section can be found on the website www.cambridge.org/kleinandnellis. Maple is an application that can be used to analytically solve algebraic and differential equations. The capability to differentiate, integrate and algebraically manipulate mathematical expressions in symbolic form can be a very powerful aid in solving many types of engineering problems, including some thermodynamics problems. Maple also provides a very convenient mathematical reference; if, for example, you've forgotten that the derivative of sine is cosine, it is easy to use Maple to quickly provide this information. Therefore, Maple can replace the numerous mathematical reference books that might otherwise be required to carry out all of the integration, differentiation, simplification, etc. that is required to solve many engineering problems. Maple and EES can be used effectively together; Maple can determine the analytical solution to a problem and these symbolic expressions can subsequently be copied (almost directly) into EES for convenient numerical evaluation and manipulation in the context of a specific application. This appendix summarizes the commands that are the most useful for thermodynamics problems.
William T. Sha first proposed the novel porous media formulation in an article in Nuclear Engineering and Design in 1980. The novel porous media formulation represented a new, flexible and unified approach to solve real-world engineering problems. It uses the concept of volume porosity, directional surface porosities, distributed resistance and distributed heat source and sink. Most practical engineering problems involve many complex shapes and sizes of solid internal structures whose distributed resistance is impossible to quantify accurately. The concept of directional surface porosities eliminates the sole reliance on empirical estimation of the distributed resistance of complex-shaped structures often involved in the analysis. The directional surface porosities thus greatly improve the resolution and modeling accuracy and facilitate mock-ups of numerical simulation models of real engineering systems. Both the continuum and conventional porous media formulations are subsets of the novel porous media formulation.
Boundary-layer separation from a rigid body surface is one of the fundamental problems of classical and modern fluid dynamics. The major successes achieved since the late 1960s in the development of the theory of separated flows at high Reynolds numbers are in many ways associated with the use of asymptotic methods. The most fruitful of these has proved to be the method of matched asymptotic expansions, which has been widely used in mechanics and mathematical physics. There have been many papers devoted to different problems in the asymptotic theory of separated flows and we can confidently speak of the appearance of a very productive direction in the development of theoretical hydrodynamics. This book will present this theory in a systematic account. The book will serve as a useful introduction to the theory, and will draw attention to the possibilities that application of the asymptotic approach provides.
Accurately predicting the behaviour of multiphase flows is a problem of immense industrial and scientific interest. Modern computers can now study the dynamics in great detail and these simulations yield unprecedented insight. This book provides a comprehensive introduction to direct numerical simulations of multiphase flows for researchers and graduate students. After a brief overview of the context and history the authors review the governing equations. A particular emphasis is placed on the 'one-fluid' formulation where a single set of equations is used to describe the entire flow field and interface terms are included as singularity distributions. Several applications are discussed, showing how direct numerical simulations have helped researchers advance both our understanding and our ability to make predictions. The final chapter gives an overview of recent studies of flows with relatively complex physics, such as mass transfer and chemical reactions, solidification and boiling, and includes extensive references to current work.
First published in 1873, this co-authored biography of the Scottish physicist, Alpine explorer, and university leader James David Forbes (1809–1868) includes extracts from Forbes' letters. John Campbell Shairp, Forbes' successor as principal of the United College of the University of St Andrews, writes of Forbes' personal, family, and professional life, including his years at St Andrews. Forbes' student and his successor in the Natural Philosophy chair at the University of Edinburgh, Peter Guthrie Tait, himself an accomplished mathematical physicist who co-wrote, with Lord Kelvin, Treatise on Natural Philosophy (1867), discusses Forbes' scientific achievements and contributions. A. Adams-Reilly, a celebrated Irish mountaineer, cartographer, and friend of Forbes, writes of the latter's Alpine travels and his work and interest in glaciers. In Shairp's words, in addition to all of his academic accomplishments, Forbes was also Britain's 'father of Alpine adventure'.
In this chapter, we discuss (1) time averaging in relation to local volume averaging and (2) proper order of time-volume averaging versus volume-time averaging.
Time averaging in relation to local volume averaging
The averaging procedure in multiphase mechanics must be related and can be understood by considering the basis of experimental observation. The relative magnitudes of three quantities determine the method and meaning of averaging. They are the size of the dispersed phase, the spacing between the elements of the dispersed phase, and the volume observed. When applied to a two-phase boiling system, they become the size of bubbles, the mean spacing between bubbles, and the size of observation “window” (or any probe of finite size). For a one-dimensional system, these quantities are bubble size D, bubble spacing S, and observation window or slit width L.
To provide a physical interpretation of Eq. (B.1), which is Eq. (2.4.9) with γv = 1, we consider a dispersed system and an averaging volume in the shape of a rectangular parallelepiped ΔxΔyΔz with its centroid located at (x, y, z), as illustrated in a. Its top view is shown b.
Clearly, for those elements of the dispersed phase k that are completely inside the averaging volume,
where δAk is the closed surface of the element. Such an element, labeled ⓐ in b, may be a bubble or a droplet, spherical or nonspherical. Next, we consider those elements of the dispersed phase that are intersected by the boundary surface ΔAx + (Δx/2). One such element is labeled ⓑ in b. The unit outdrawn normal vector nk can be represented by
where i, j, and k are unit vectors pointing in the positive directions of x, y, and z-axis, respectively, and e1, e2, and e3 are the direction cosines of nk. If we denote the portion of the interfacial area of element ⓑ that is inside the averaging volume v by δAk, [x + (Δx/2)], and its area of intersection with the surface ΔAx + (Δx/2) by δAk, x + (Δx/2), then