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Journal ArticleDOI

Backward Monte Carlo Simulations in Radiative Heat Transfer

TLDR
Backward tracing of photon bundles is known to alleviate this problem if the source of radiation is large, but may also fail if the radiation source is collimated and/or very small as discussed by the authors.
Abstract
Standard Monte Carlo methods trace photon bundles in a forward direction, and may become extremely inefficient when radiation onto a small spot and/or onto a small direction cone is desired. Backward tracing of photon bundles is known to alleviate this problem if the source of radiation is large, but may also fail if the radiation source is collimated and/or very small. Various implementations of the backward Monte Carlo method are discussed, allowing efficient Monte Carlo simulations for problems with arbitrary radiation sources, including small collimated beams, point sources, etc., in media of arbitrary optical thickness

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Citations
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Journal ArticleDOI

Heat transfer—A review of 2003 literature

TL;DR: This survey, although extensive cannot include every paper; some selection is necessary, is intended to encompass the English language heat transfer papers published in 2003, including some translations of foreign language papers.
Journal ArticleDOI

Monte carlo methods for solving the boltzmann transport equation

TL;DR: Monte Carlo methods for solving the Boltzmann equation for applications to small-scale transport processes, with particular emphasis on nanoscale heat transport as mediated by phonons are reviewed.
Journal ArticleDOI

Literature Survey of Numerical Heat Transfer (2000–2009): Part II

TL;DR: A comprehensive survey of the literature in the area of numerical heat transfer (NHT) published between 2000 and 2009 has been conducted by as mentioned in this paper, where the authors conducted a comprehensive survey.
Journal ArticleDOI

Reverse Monte Carlo Method for Transient Radiative Transfer in Participating Media

TL;DR: In this paper, the authors proposed a reverse Monte Carlo (RMC) method to solve radiative transfer problems, where the energy bundle (photon ensemble) is tracked in a time-reversal manner.
Journal ArticleDOI

Experimental reconstructions of flame temperature distributions in laboratory-scale and large-scale pulverized-coal fired furnaces by inverse radiation analysis

TL;DR: In this paper, two-dimensional and three-dimensional temperature distributions in laboratory-scale and large-scale pulverized-coal fired furnaces were reconstructed experimentally by means of CCD cameras through the inverse radiation analysis.
References
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Thermal radiation heat transfer

TL;DR: In this article, a comprehensive discussion of heat transfer by thermal radiation is presented, including the radiative behavior of materials, radiation between surfaces, and gas radiation, and the use of the Monte Carlo technique in solving radiant exchange problems and problems of radiative transfer through absorbing-emitting media.
Book

Thermal Radiation Heat Transfer

TL;DR: In this paper, a comprehensive discussion of heat transfer by thermal radiation is presented, including the radiative behavior of materials, radiation between surfaces, and gas radiation, and the use of the Monte Carlo technique in solving radiant exchange problems and problems of radiative transfer through absorbing-emitting media.
Book

Radiative heat transfer

TL;DR: In this article, the Monte Carlo method for thermal radiation was used to estimate the radiative properties of one-dimensional Gray Media, and the method of Spherical Harmonics (PN-Approximation) was used for the same purpose.
Journal ArticleDOI

A rendering algorithm for visualizing 3D scalar fields

Paolo Sabella
TL;DR: In this paper, a ray tracing algorithm for rendering 3D scalar fields is presented, where the field is characterized as a varying density emittter with a single level of scattering.
Proceedings ArticleDOI

A shading model for atmospheric scattering considering luminous intensity distribution of light sources

TL;DR: A shading model for scattering and absorption of light caused by particles in the atmosphere is proposed in this paper and takes into account luminous intensity distribution of light sources, shadows due to obstacles, and density of particles.