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Radiative Heat Transfer in Participating Media (with MATLAB codes)

AuthorRahul Yadav, C. Balaji and S.P. Venkateshan
PublisherAne Books
Publisher2022
Publisher252 p,
ISBN9789390658060

Contents: 1. Introduction. 2. State of the art on Radiative transfer in participating media. 3. Mathematical Formulations and Solution Methodology. 4. Radiative Transfer in Cylindrical Geometries with a Participating Medium. 5. Radiative Transfer in Conical Geometries with a Participating Medium. 6. Radiative Heat Transfer in Three Dimensional Rectangular Geometries with a Participating Medium. 7. Inverse Problem of Discrete Heaters in Radiant Furnaces. 8. Closure. Appendix. Formulation of Mie Scattering Theory. Radiative Properties of Soot based on Temperature and Type of Fuel. MATLAB Codes for the important problems. References.

This book provides a computational framework of radiative heat transfer in participating media to help engineers and researchers in developing their own codes for radiative heat transfer analysis, starting from simple benchmark problems and extend further to industry scale problems. The key feature of the book is the presentation of concepts of radiation keeping in view the need of the engineers, researchers and practitioners and help them to perform more comprehensive radiative transfer calculations, make more physics-based approximations, start developing their own basic codes and use them in their problems of interest. Some salient attractions are:

1. A comprehensive computational framework for radiative heat transfer in participating media
2. A modular approach to solve the radiative heat transfer in cylindrical, conical, and rectangular geometries
3. Treatment of radiative properties of gases, gas mixtures, particles, and particle clusters
4. Generic numerical framework based on Finite Volume and Spectral line based weighted sum of gray gases method
5. A guide to develop your own solver for radiation
6. MATLAB based easy to implement codes
7. Strategy of optimizing process parameters in industry problems
8. Neural network based smart predictor and optimizer tools development

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