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    Analytical Heat Transfer

    Proposal review

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    Author(s)
    Han, Je-Chin
    Contributor(s)
    Lindholm, Kyra (editor)
    Language
    English
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    Abstract
    Developed from the author’s 30 years of teaching a graduate-level intermediate heat transfer course, Analytical Heat Transfer explains how to analyze and solve conduction, convection, and radiation heat transfer problems. Suitable for entry-level graduate students, the book fills the gap between basic heat transfer undergraduate courses and advanced heat transfer graduate courses. The author places emphasis on modeling and solving engineering heat transfer problems analytically, rather than simply applying the equations and correlations for engineering problem calculations. He describes many well-known analytical methods and their solutions, such as Bessel functions, separation of variables, similarity method, integral method, and matrix inversion method. He also presents step-by-step mathematical formula derivations, analytical solution procedures, and numerous demonstration examples of heat transfer applications. By providing a strong analytical background, the text enables students to tackle complex engineering heat transfer problems encountered in practice. This analytical knowledge also helps them to read and understand heat transfer-related research papers.
    URI
    https://library.oapen.org/handle/20.500.12657/40123
    Keywords
    Heat Transfer
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2019
    Imprint
    CRC Press
    Classification
    Energy technology and engineering
    Pages
    326
    Public remark
    3-8-2020 - No DOI registered in CrossRef for ISBN 9781439861967
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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