Gottschalk Timo (15 results)

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  • Language: English

    Published by Elsevier Science, 2007

    0444520260 / 9780444520265

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  • Language: English

    Published by Elsevier Science, 2007

    0444520260 / 9780444520265

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  • Language: English

    Published by Elsevier Science, 2007

    0444520260 / 9780444520265

    • Hardcover

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  • Language: English

    Published by Südwestdeutscher Verlag für Hochschulschriften, 2015

    3838105680 / 9783838105680

    • Softcover

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    Taschenbuch. Condition: Neu. Markov Processes in Stochastic Modeling of Transport Phenomena | From Application to Theory | Timo Gottschalk | Taschenbuch | 136 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838105680 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Language: English

    Published by Elsevier Science and Technology, GB, 2007

    0444520260 / 9780444520265

    • Hardcover

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    Hardback. Condition: New. There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing industry. This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic process modelling. The technique is based on computing the probability distribution for a single particle's position in the process vessel, and/or the particle's properties, as a function of time, rather than - as is traditionally done - basing the model on the formulation and solution of differential conservation equations. Using this technique can greatly simplify the formulation of a model, and even make modelling possible for processes so complex that the traditional method is impracticable. Stochastic modelling has sporadically been used in various branches of process technology under various names and guises. This book gives, as the first, an overview of this work, and shows how these techniques are similar in nature, and make use of the same basic mathematical tools and techniques. The book also demonstrates how stochastic modelling may be implemented by describing example cases, and shows how a stochastic model may be formulated for a case, which cannot be described by formulating and solving differential balance equations.

  • Language: English

    Published by Amsterdam, Elsevier, 2007

    0444520260 / 9780444520265

    • Hardcover

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    Hardcover. Condition: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 DEH 9780444520265 Sprache: Englisch Gewicht in Gramm: 1150.

  • Language: English

    Published by Elsevier Science, 2007

    0444520260 / 9780444520265

    • Hardcover

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  • Language: English

    Published by Elsevier Science, 2007

    0444520260 / 9780444520265

    • Hardcover

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    Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Language: English

    Published by Elsevier Science, 2007

    0444520260 / 9780444520265

    • Hardcover

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    Gebunden. Condition: New. Introduction to stochastic process modelling as an alternative modelling technique Shows how stochastic modelling may be succesful where the traditional technique fails Overview of stochastic modelling in process technology in the.

  • Language: English

    Published by Elsevier Science, 2007

    0444520260 / 9780444520265

    • Hardcover

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  • Language: English

    Published by Elsevier Science and Technology, GB, 2007

    0444520260 / 9780444520265

    • Hardcover

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    Hardback. Condition: New. There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing industry. This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic process modelling. The technique is based on computing the probability distribution for a single particle's position in the process vessel, and/or the particle's properties, as a function of time, rather than - as is traditionally done - basing the model on the formulation and solution of differential conservation equations. Using this technique can greatly simplify the formulation of a model, and even make modelling possible for processes so complex that the traditional method is impracticable. Stochastic modelling has sporadically been used in various branches of process technology under various names and guises. This book gives, as the first, an overview of this work, and shows how these techniques are similar in nature, and make use of the same basic mathematical tools and techniques. The book also demonstrates how stochastic modelling may be implemented by describing example cases, and shows how a stochastic model may be formulated for a case, which cannot be described by formulating and solving differential balance equations.

  • Language: English

    Published by Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Jul 2015, 2015

    3838105680 / 9783838105680

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present work discusses the development of mathematical theory in order to satisfy the need for rigorous and applicable modeling of transport phenomena in chemical engineering science. An underlying background in applications and examples are common to all the different following topics. The first object of investigation is Danckwerts' law. It states that the expected residence time of a particle in a processing vessel with steady and constant in- and outflow is given by the volume of the vessel divided by the in-/outflowrate. Its implementation for discrete Markov chains and onedimensional diffusion processes is shown. Therefore relations of the theory of strongly continuous semigroups and their generators to diffusion processes are presented and used. Furthermore multiphase processes are introduced and characterized. A limit theorem for these multiphase processes is formulated and proved. Finally a heterogeneous stochastic model for transport in slugging fluidized bed reactors is illustrated. 136 pp. Deutsch.

  • Language: English

    Published by Südwestdeutscher Verlag für Hochschulschriften, 2015

    3838105680 / 9783838105680

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The present work discusses the development of mathematical theory in order to satisfy the need for rigorous and applicable modeling of transport phenomena in chemical engineering science. An underlying background in applications and examples are common to a.

  • Language: English

    Published by Südwestdeutscher Verlag Für Hochschulschriften Jul 2015, 2015

    3838105680 / 9783838105680

    • Softcover
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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The present work discusses the development of mathematical theory in order to satisfy the need for rigorous and applicable modeling of transport phenomena in chemical engineering science. An underlying background in applications and examples are common to all the different following topics. The first object of investigation is Danckwerts' law. It states that the expected residence time of a particle in a processing vessel with steady and constant in- and outflow is given by the volume of the vessel divided by the in-/outflowrate. Its implementation for discrete Markov chains and onedimensional diffusion processes is shown. Therefore relations of the theory of strongly continuous semigroups and their generators to diffusion processes are presented and used. Furthermore multiphase processes are introduced and characterized. A limit theorem for these multiphase processes is formulated and proved. Finally a heterogeneous stochastic model for transport in slugging fluidized bed reactors is illustrated.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Deutsch.

  • Language: English

    Published by Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG, 2009

    3838105680 / 9783838105680

    • Softcover
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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present work discusses the development of mathematical theory in order to satisfy the need for rigorous and applicable modeling of transport phenomena in chemical engineering science. An underlying background in applications and examples are common to all the different following topics. The first object of investigation is Danckwerts' law. It states that the expected residence time of a particle in a processing vessel with steady and constant in- and outflow is given by the volume of the vessel divided by the in-/outflowrate. Its implementation for discrete Markov chains and onedimensional diffusion processes is shown. Therefore relations of the theory of strongly continuous semigroups and their generators to diffusion processes are presented and used. Furthermore multiphase processes are introduced and characterized. A limit theorem for these multiphase processes is formulated and proved. Finally a heterogeneous stochastic model for transport in slugging fluidized bed reactors is illustrated.