Inverse radiation analysis of a one-dimensional participating slab by stochastic particle swarm optimizer algorithm

Qi, Hong; Ruan, Li-Ming; Zhang, H.C.; Wang, Y.M.; Tan, He‐Ping

doi:10.1016/j.ijthermalsci.2006.10.002

Cited by 122 publications

(50 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the RTE equation, the symbol I is the local radiation intensity which varies with space and direction, and the phase function U varies with direction [33,34]. The symbol k e (k e ¼ k a þ k s ) represents the extinction coefficient of porous matrix.…”

Section: 2 Energy Equationmentioning

confidence: 99%

Effects of key factors on solar aided methane steam reforming in porous medium thermochemical reactor

Wang

Tan

et al. 2015

Energy Conversion and Management

View full text Add to dashboard Cite

Section: 2 Energy Equationmentioning

confidence: 99%

Effects of key factors on solar aided methane steam reforming in porous medium thermochemical reactor

Wang

Tan

et al. 2015

Energy Conversion and Management

View full text Add to dashboard Cite

“…And the particle swarm optimization (PSO) was able to find a global optimum solution or a good approximation of the solution to the multimodal function [71]. There were a few reports concerning the application of PSO to inverse radiation analysis in recent years [66,[72][73][74][75]. In ref.…”

Section: Emission Computed Tomographymentioning

confidence: 99%

Review of soot measurement in hydrocarbon-air flames

Lou

Chen

Sun

et al. 2010

Sci. China Technol. Sci.

View full text Add to dashboard Cite

Soot, which is produced in fuel-rich parts of flames as a result of incomplete combustion of hydrocarbons, is the No. 2 contributor to global warming after carbon dioxide. Developing soot measurement techniques is important to understand soot formation mechanism and control soot emission. The various soot measurement techniques, such as thermophoretic sampling particles diagnostics followed by electron microscopy analysis, thermocouple particle densitometry, light extinction, laser-induced incandescence, two-color method, and emission computed tomography, are reviewed in this paper. The measurement principle and application cases of these measurement methods are described in detail. The development trend of soot measurement is to realize the on-line measurement of multi-dimensional distributions of temperature, soot volume fraction, soot particle size and other parameters in hydrocarbon-air flames. Soot measurement techniques suitable for both small flames in laboratories and large-scale flames in industrial combustion devices should be developed. Besides, in some special situations, such as high-pressure, zero gravity and micro-gravity flames, soot measurement also should be provided. hydrocarbon-air flames, combustion measurement, soot, laser-induced incandescence, emission CT Citation:Lou C, Chen C, Sun Y P, et al. Review of soot measurement in hydrocarbon-air flames.

show abstract

“…The inverse heat conduction problems (IHCPs) have been widely applied in the fields of engineering [1][2][3][4][5][6][7][8][9]. At present, lots of approaches have been proposed to solve the IHCPs.…”

Section: Introductionmentioning

confidence: 99%

A decentralized fuzzy inference method for the inverse geometry heat conduction problem

Wang

Chen

et al. 2016

Applied Thermal Engineering

View full text Add to dashboard Cite

Inverse radiation analysis of a one-dimensional participating slab by stochastic particle swarm optimizer algorithm

Cited by 122 publications

References 30 publications

Effects of key factors on solar aided methane steam reforming in porous medium thermochemical reactor

Effects of key factors on solar aided methane steam reforming in porous medium thermochemical reactor

Review of soot measurement in hydrocarbon-air flames

A decentralized fuzzy inference method for the inverse geometry heat conduction problem

Contact Info

Product

Resources

About