A Neural Network based Calculation for Emissivity/Absorptivity of a CO2/H2O/N2/Soot Mixture

Introduction

RAD-NNET computes the total emissivity and absorptivity of a combustion mixture (CO2/H2O/N2/soot) based on narrow band spectral data provided by RADCAL. Currently, it is the only model available which can predict the emissivity/absorptivity of a luminous combustion mixture with soot. For a non-luminous combustion mixture without soot, it has been demonstrated to be superior to the approach using the Hottel's chart (as outlined in standard heat transfer text books).

Details of the research are presented in Walter W. Yuen, "RAD-NNET, a neural network based correlation developed for a realistic simulation of the non-gray radiative heat transfer effect in three-dimensional gas-particle mixtures", International Journal of Heat and Mass Transfer Volume 52, Issues 13-14, June 2009, Pages 3159-3168

Fill in Input Values: Total Pressure = 1 atm (101 kPa)

Mixture PropertiesSingle Value CalculationRange Calculation
SelectValueSelectMinimum ValueMaximum ValueNumber of Steps (>=2)
Soot Volume Fraction Pathlength (m): 0 to 0.000001
Temperature (K): 300 to 2000
CO2/(CO2+H2O) Mole Fraction: 0.0 to 1.0
Pressure Pathlength (kPa-m): 0 to 2000 (< Path Length x 1 atm)
Path Length (m): > 0
Source Temperature (K): 300 to 1500

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References

Other publications related to RAD-NNET:

Walter W. Yuen, "RAD-NNET, a neural network based correlation developed for a realistic simulation of the non-gray radiative heat transfer effect in three-dimensional gas-particle mixtures", International Journal of Heat and Mass Transfer Volume 52, Issues 13-14, June 2009, Pages 3159-3168

Walter W. Yuen, W. C. Tam and W. K. Chow, "Assessment of radiative heat transfer characteristics of a combustion mixture in a three-dimensional enclosure using RAD-NETT (with application to a fire resistance test furnace)", International Journal of Heat and Mass Transfer Volume 68, January 2014, Pages 383-390

Walter W. Yuen, W. C. Tam and W. K. Chow, "A Realistic Radiation Heat Transfer Model for Builidng Energy Simulation Program", accepted for publicatin in Numerical Heat Transfer, also AIAA Paper 2014-2389, the 11th AIAA/ASME Joint Thermophysics and Heat Transfer Conference, June, 2014

Walter W. Yuen, L. C. Chow and W. C. Tam, "An Exact Analysis of Radiative Heat Transfer in Three-Dimensional Inhomogeneous Non-Isothermal Media Using Neural Networks", AIAA Journal of Thermophysics and Heat Transfer, Volume 30, Issue 4, May 2016, Pages 897-911

All rights reserved. For more details, please contact Walter Yuen at yuen _at_ engr.ucsb.edu or Wai Cheong Tam at waicheong.tam _at_ nist.gov.