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Inverse heat transfer method (IHTM) is typically used for predicting the temperature, heat flux, and other physical properties of a thermal system. In recent years, it has been applied to treat the problems of shape identification, shape design, and identification of geometric and physical variables simultaneously. In this volume, the conjugate gradient method (CGM) is extended and applied, while a simplified variation of CGM that overcomes the limitations in the definition of objective function form of CGM is presented. Combining these developments, a novel IHTM is proposed, which…mehr

Produktbeschreibung
Inverse heat transfer method (IHTM) is typically
used for predicting the temperature, heat flux, and
other physical properties of a thermal system. In
recent years, it has been applied to treat the
problems of shape identification, shape design, and
identification of geometric and physical variables
simultaneously. In this volume, the conjugate
gradient method (CGM) is extended and applied, while
a simplified variation of CGM that overcomes the
limitations in the definition of objective function
form of CGM is presented. Combining these
developments, a novel IHTM is proposed, which
incorporates an automatic-filter scheme with the CGM
method, and is applied to a wide range of practical
problems for thermal systems. Since numerical grid
generation is not required and overwhelming
mathematical manipulations are avoided, the
objective function form presented here becomes very
flexible. The content of this volume is most
suitable for readers interested in IHTM and its wide
applications, and hopefully will also stimulate
novel thoughts of the readers to help them develop
and apply to their own innovative problems.
Autorenporträt
Mei-Hsia Chang, Ph.D. in Department of Mechanical Engineering,
Tatung University. Assistant Scientist, National Synchrotron
Radiation Research Center, Taiwan, R.O.C. Professional skills in
CAD/CAE simulation and analysis, inverse heat transfer
engineering, and optimization design.