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๐Ÿ“

Computational Models for Turbulent Reacting Flows

โœ Scribed by Rodney O. Fox


Publisher
Cambridge University Press
Year
2003
Tongue
English
Leaves
438
Series
Cambridge Series in Chemical Engineering
Edition
1st edition
Category
Library

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โœฆ Synopsis


This survey of the current state of the art in computational models for turbulent reacting flows carefully analyzes the strengths and weaknesses of the various techniques described. Rodney Fox focuses on the formulation of practical models as opposed to numerical issues arising from their solution. He develops a theoretical framework based on the one-point, one-time joint probability density function (PDF). The study reveals that all commonly employed models for turbulent reacting flows can be formulated in terms of the joint PDF of the chemical species and enthalpy.


๐Ÿ“œ SIMILAR VOLUMES


Computational Models for Turbulent React
โœ Rodney O. Fox ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Cambridge University Press ๐ŸŒ English

This survey of the current state of the art in computational models for turbulent reacting flows carefully analyzes the strengths and weaknesses of the various techniques described. Rodney Fox focuses on the formulation of practical models as opposed to numerical issues arising from their solution.

Computational Models for Turbulent React
โœ Rodney O. Fox ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Cambridge University Press ๐ŸŒ English

This survey of the current state of the art in computational models for turbulent reacting flows carefully analyzes the strengths and weaknesses of the various techniques described. Rodney Fox focuses on the formulation of practical models as opposed to numerical issues arising from their solution.

Computational Models for Turbulent React
โœ Rodney O. Fox ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐ŸŒ English

This survey of the current state of the art in computational models for turbulent reacting flows carefully analyzes the strengths and weaknesses of the various techniques described. Rodney Fox focuses on the formulation of practical models as opposed to numerical issues arising from their solution.