000 04055nam a22005775i 4500
001 978-1-4471-7423-3
003 DE-He213
005 20220801213501.0
007 cr nn 008mamaa
008 190507s2019 xxk| s |||| 0|eng d
020 _a9781447174233
_9978-1-4471-7423-3
024 7 _a10.1007/978-1-4471-7423-3
_2doi
050 4 _aTJ265
050 4 _aTP156.M3
072 7 _aTGMB
_2bicssc
072 7 _aSCI065000
_2bisacsh
072 7 _aTGMB
_2thema
082 0 4 _a621.4021
_223
100 1 _aMohamad, A. A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_932328
245 1 0 _aLattice Boltzmann Method
_h[electronic resource] :
_bFundamentals and Engineering Applications with Computer Codes /
_cby A. A. Mohamad.
250 _a2nd ed. 2019.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2019.
300 _aXVIII, 222 p. 77 illus., 16 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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.
650 0 _aThermodynamics.
_93554
650 0 _aHeat engineering.
_95144
650 0 _aHeat transfer.
_932329
650 0 _aMass transfer.
_94272
650 0 _aPhysics.
_912639
650 0 _aFluid mechanics.
_92810
650 0 _aMathematical physics.
_911013
650 1 4 _aEngineering Thermodynamics, Heat and Mass Transfer.
_932330
650 2 4 _aClassical and Continuum Physics.
_932331
650 2 4 _aEngineering Fluid Dynamics.
_932332
650 2 4 _aTheoretical, Mathematical and Computational Physics.
_931560
710 2 _aSpringerLink (Online service)
_932333
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781447174226
776 0 8 _iPrinted edition:
_z9781447174240
856 4 0 _uhttps://doi.org/10.1007/978-1-4471-7423-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75230
_d75230