Handbook of mathematical relations in particulate materials processing / Randall M German

Public ISBD Titre : Handbook of mathematical relations in particulate materials processing : ceramics, powder metals, cermets, carbides, hard materials, and minerals Type de document : texte imprimé Auteurs : Randall M German, Auteur ; Seong Jin Park, Auteur Editeur : Hoboken : J. Wiley & Sons Année de publication : 2008 Collection : Wiley series on processing of engineering materials Importance : 419 p. Présentation : couv. ill. en coul Format : 24 cm ISBN/ISSN/EAN : 978-0-470-17364-0 Langues : Anglais (eng) Catégories : Livres Tags : Métallurgie des poudres  Guides pratiques et mémentos  Modèles mathématiques  Céramique  Cermet  Carbure  Matériau particulaire Index. décimale : 671.37 Métallurgie des poudres Résumé : The National Science Foundation estimates that over 35% ofmaterials-related funding is now directed toward modeling. In part,this reflects the increased knowledge and the high cost ofexperimental work. However, currently there is no organizedreference book to help the particulate materials community withsorting out various relations. This book fills that important need,providing readers with a quick-reference handbook for easyconsultation. This one-of-a-kind handbook gives readers the relevantmathematical relations needed to model behavior, generate computersimulations, analyze experiment data, and quantify physical andchemical phenomena commonly found in particulate materials processing. It goes beyond the traditional barriers of only onematerial class by covering the major areas in ceramics, cementedcarbides, powder metallurgy, and particulate materials. In manycases, the governing equations are the same but the terms arematerial-specific. To rise above these differences, the authorshave assembled the basic mathematics around the following topicalstructure: - Powder technology relations, such as those encountered inatomization, milling, powder production, powder characterization,mixing, particle packing, and powder testing. - Powder processing, such as uniaxial compaction, injectionmolding, slurry and paste shaping techniques, polymer pyrolysis,sintering, hot isostatic pressing, and forging, with accompanying relations associated with microstructure development andmicrostructure coarsening. - Finishingoperations, such as surface treatments, heat treatments, microstructure analysis, materiel testing, data analysis, and structure-property relations. Handbook of mathematical relations in particulate materials processing : ceramics, powder metals, cermets, carbides, hard materials, and minerals [texte imprimé] / Randall M German, Auteur ; Seong Jin Park, Auteur . - Hoboken : J. Wiley & Sons, 2008 . - 419 p. : couv. ill. en coul ; 24 cm. - (Wiley series on processing of engineering materials) . ISBN : 978-0-470-17364-0 Langues : Anglais (eng) Catégories : Livres Tags : Métallurgie des poudres  Guides pratiques et mémentos  Modèles mathématiques  Céramique  Cermet  Carbure  Matériau particulaire Index. décimale : 671.37 Métallurgie des poudres Résumé : The National Science Foundation estimates that over 35% ofmaterials-related funding is now directed toward modeling. In part,this reflects the increased knowledge and the high cost ofexperimental work. However, currently there is no organizedreference book to help the particulate materials community withsorting out various relations. This book fills that important need,providing readers with a quick-reference handbook for easyconsultation. This one-of-a-kind handbook gives readers the relevantmathematical relations needed to model behavior, generate computersimulations, analyze experiment data, and quantify physical andchemical phenomena commonly found in particulate materials processing. It goes beyond the traditional barriers of only onematerial class by covering the major areas in ceramics, cementedcarbides, powder metallurgy, and particulate materials. In manycases, the governing equations are the same but the terms arematerial-specific. To rise above these differences, the authorshave assembled the basic mathematics around the following topicalstructure: - Powder technology relations, such as those encountered inatomization, milling, powder production, powder characterization,mixing, particle packing, and powder testing. - Powder processing, such as uniaxial compaction, injectionmolding, slurry and paste shaping techniques, polymer pyrolysis,sintering, hot isostatic pressing, and forging, with accompanying relations associated with microstructure development andmicrostructure coarsening. - Finishingoperations, such as surface treatments, heat treatments, microstructure analysis, materiel testing, data analysis, and structure-property relations.

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Simulation and the Monte Carlo method / Reuven Y. Rubinstein

Public ISBD Titre : Simulation and the Monte Carlo method Type de document : texte imprimé Auteurs : Reuven Y. Rubinstein, Auteur ; Dirk P. Kroese, Auteur Mention d'édition : Third edition Editeur : Hoboken : J. Wiley & Sons Année de publication : 2017 Importance : 414 p. Format : 24 cm ISBN/ISSN/EAN : 978-1-118-63216-1 Langues : Anglais (eng) Catégories : Livres Tags : méthode de Monte Carlo  simulation numérique par ordinateur Index. décimale : 518 Analyse numérique Résumé : Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo, variance reduction techniques such as importance (re-)sampling, and the transform likelihood ratio method, the score function method for sensitivity analysis, the stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization, the cross-entropy method for rare events estimation and combinatorial optimization, and application of Monte Carlo techniques for counting problems. An extensive range of exercises is provided at the end of each chapter, as well as a generous sampling of applied examples. Simulation and the Monte Carlo method [texte imprimé] / Reuven Y. Rubinstein, Auteur ; Dirk P. Kroese, Auteur  . -  Third edition . - Hoboken : J. Wiley & Sons, 2017 . - 414 p. ; 24 cm. ISBN : 978-1-118-63216-1 Langues : Anglais (eng) Catégories : Livres Tags : méthode de Monte Carlo  simulation numérique par ordinateur Index. décimale : 518 Analyse numérique Résumé : Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo, variance reduction techniques such as importance (re-)sampling, and the transform likelihood ratio method, the score function method for sensitivity analysis, the stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization, the cross-entropy method for rare events estimation and combinatorial optimization, and application of Monte Carlo techniques for counting problems. An extensive range of exercises is provided at the end of each chapter, as well as a generous sampling of applied examples.

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