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Numerical solutions applied to heat transfer with the sph method [Documento eletrónico] : a verification of approximations for speed and accuracy / by Luciano Pereira da Silva, Messias Meneguette Junior, Carlos Henrique Marchi

Main Author: Silva, Luciano Pereira daCoauthor: Meneguette Junior, Messias, co-aut.;Marchi, Carlos Henrique, co-aut.Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer, 2023Description: XXVII, 119 p. : il.ISBN: 978-3-031-28946-0.Series: SpringerBriefs in mathematicsSubject - Topical Name: Mathematics -- Data processing | Thermodynamics | Heat engineering | Heat transfer | Mass transfer | Differential equations | Mathematics Online Resources:Click here to access online
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E-Books Biblioteca NOVA FCT Online Não Ficção QA71.SPR FCT (Browse shelf(Opens below)) 1 Available 97195

This book offers an in-depth verification of numerical solutions for differential equations modeling heat transfer phenomena, where the smoothed particle hydrodynamics (SPH) method is used to discretize the mathematical models. Techniques described in this book aim to speed up the convergence of numerical solutions and increase their accuracy by significantly reducing the discretization error. In their quest, the authors shed light on new sources of numerical error that are specific to the SPH method and, through them, they identify the characteristics of the solutions influenced by such errors. The accuracy of numerical solutions is also improved with the application of advanced tools like the repeated Richardson extrapolation (RRE) in quadruple precision, which was adapted to consider fixed or moving particles. The book finishes with the conclusion that the qualitative and quantitative verification of numerical solutions through coherence tests and metrics are currently a methodology of excellence to treat computational heat transfer problems. Mathematicians in applied fields and engineers modelling and solving real physical phenomena can greatly benefit from this work, as well as any reader interested in numerical methods for differential equations.

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