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710	2		_aSpringerLink (Online service) _9106996
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003			ES-MaUEC
005			20230102113416.0
008			190507s2019 xxka o |||| 0|eng d
020			_a9781447174233
024	7		_a10.1007/978-1-4471-7423-3 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTA357 _b2019 EB
100	1		_aMohamad, A. A. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9670661 _q(Abdulmajeed A.)
245	1	0	_aLattice Boltzmann Method : _bFundamentals and Engineering Applications with Computer Codes _cby A. A. Mohamad.
250			_a2nd ed. 2019.
264		1	_aLondon _bSpringer London : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XVIII, 222 páginas) _b77 ilustraciones, 16 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction and Kinetic of Particles -- The Boltzmann Equation -- Similarities and Scaling -- Boundary Conditions -- The Diffusion Equation -- Laplace and Poisson and Biharmonic Equations -- Advection-Diffusion Problems -- Isothermal Incompressible Fluid Flow -- Non-isothermal Incompressible Fluid Flow -- Multi-relaxation Schemes -- References -- Appendix-Computer Codes.
520	3		_aThis book introduces readers to the lattice Boltzmann method (LBM) for solving transport phenomena - flow, heat and mass transfer - in a systematic way. Providing explanatory computer codes throughout the book, the author guides readers through many practical examples, such as: • flow in isothermal and non-isothermal lid-driven cavities; • flow over obstacles; • forced flow through a heated channel; • conjugate forced convection; and • natural convection. Diffusion and advection-diffusion equations are discussed, together with applications and examples, and complete computer codes accompany the sections on single and multi-relaxation-time methods. The codes are written in MatLab. However, the codes are written in a way that can be easily converted to other languages, such as FORTRANm Python, Julia, etc. The codes can also be extended with little effort to multi-phase and multi-physics, provided the physics of the respective problem are known. The second edition of this book adds new chapters, and includes new theory and applications. It discusses a wealth of practical examples, and explains LBM in connection with various engineering topics, especially the transport of mass, momentum, energy and molecular species. This book offers a useful and easy-to-follow guide for readers with some prior experience with advanced mathematics and physics, and will be of interest to all researchers and other readers who wish to learn how to apply LBM to engineering and industrial problems. It can also be used as a textbook for advanced undergraduate or graduate courses on computational transport phenomena.
988			_aPrimersemestre_2019_Engineering
650		7	_2embne _aMecánica de fluidos _9138336
776	0	8	_iPrinted edition: _z9781447174226
776	0	8	_iPrinted edition: _z9781447174240
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4471-7423-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _ejf _zSI