New PDF release: Computational Methods for Multiphase Flow

By Andrea Prosperetti, Grétar Tryggvason

ISBN-10: 0511296118

ISBN-13: 9780511296116

ISBN-10: 0521847648

ISBN-13: 9780521847643

Due to high-speed desktops and complex algorithms, the $64000 box of modelling multiphase flows is a space of speedy development. This one-stop account - now in paperback, with corrections from the 1st printing - is the best strategy to become familiar with this subject, which has major purposes in and nature. every one bankruptcy is written through an said specialist and contains huge references to present learn. the entire chapters are basically self sustaining and so the ebook can be utilized for quite a number complicated classes and the self-study of particular subject matters. No different booklet covers such a lot of issues with regards to multiphase movement, and it'll hence be warmly welcomed by means of researchers and graduate scholars of the topic throughout engineering, physics, and utilized arithmetic.

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Additional info for Computational Methods for Multiphase Flow

Example text

However, for situations where the velocity changes rapidly over a grid cell this approach can produce unphysical oscillations. These oscillations do not always render the results unusable, and the problem only shows up in regions of high gradients. However, as the Reynolds number becomes higher the problem becomes more serious. To overcome these problems, many authors have resorted to the use of higher order upwind methods. These methods are almost as accurate as centered difference schemes in regions of fully resolved smooth flows and much more robust in regions where the solution changes rapidly and the resolution is marginal.

1 The “one-fluid” approach When multiphase flow is simulated by solving a single set of equations for the whole flow field, it is necessary to account for differences in the material properties of the different fluids and to add appropriate interface terms for interfacial phenomena, such as surface tension. Since these terms are concentrated at the boundary between the different fluids, they are represented by delta (δ) functions. When the equations are discretized, the δ-functions must be approximated along with the rest of the equations.

Most industrial size systems, such as fluidized bed reactors or bubble columns, will remain out of reach of direct numerical simulations for the foreseeable future (and even if they were possible, DNS is unlikely to be used for routine design). However, the size of systems that can be studied is growing rapidly. It is realistic today to conduct DNS of fully three-dimensional systems resolved by several hundred grid points in each spatial direction. If we assume that a single bubble can be adequately resolved by 25 grid points (sufficient for clean bubbles at relatively modest Reynolds numbers), that the bubbles are, on the average, one bubble diameter apart (a void fraction of slightly over 6%), and that we have a uniform grid with 10003 grid points, then we would be able to accommodate 8000 bubbles.

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Computational Methods for Multiphase Flow by Andrea Prosperetti, Grétar Tryggvason


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