Model elements and network solutions of heat, mass and momentum transport processes
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Bibliographic Information
Model elements and network solutions of heat, mass and momentum transport processes
(Heat and mass transfer)
Springer, c2017
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Note
Includes bibliographical references (p. 245-247) and index
Description and Table of Contents
Description
This work provides an enormous contribution to the broad effort of modeling heat, mass and momentum transport in multi-physics problems with the development of new solution approaches. It re-visits the time-honored technique of network application using flow network solutions for all transport process components for a coupled modeling task. The book further provides as formulation of the conservation laws for mass, energy and momentum, specifically for the branches and nodes of transport networks using the combination of the Eulerian and Lagrangean modeling methods. With the extension of Bernoulli's original concept, a new solution is given for the flow field of viscous and compressible fluids as driven by the balance of mechanical energy, coupled to the thermodynamics of the transport system. Applicable to simple or large-scale tasks, the new model elements and methods are built on first principles.
Throughout the work, the book provides original formulations, their mathematical derivations as well as applications in a numerical solution scheme.
Table of Contents
Introduction.- Phenomenological properties and constitutive equations of transport processes.- Conservation of a scalar extensive in integral form.- Conservation of a scalar extensive in integral form.- Conservation of a scalar extensive in a state-flux, space-time, finite-volume cell.- Conservation of energy in integral, differential, and state-flux forms.- Transport models for Mechanical Energy.- Transport models for Thermal Energy.- Conservation of momentum in integral, differential, and state-flux forms.- Conservation of diffusive mass component in state-flux forms.- Synopsis and examples of state-flux transport network models.
by "Nielsen BookData"