National Technical Reports Library

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Transport Modeling of Industrial Ventilation.

PB2005105193

Publication Date	1997
Personal Author	Squires, K. D.
Page Count	74
Abstract	The focus of work performed under Grant R01 OH03052 was development of new computational models appropriate for predicting contaminant transport in the complex turbulent flows encountered in industrial ventilation applications, with an emphasis on contaminants comprised of dense particulates. The newly developed models are based on large eddy simulation (LES), a more accurate technique for predicting turbulent transport than methods currently used in engineering practice. The goal of this work was to extend LES to prediction of turbulent flows transporting small particles which do not follow the flow and to validate the model against experimental measurements from well-defined test problems.
Keywords	Ventilation systems Turbulence models Industrial plants Air flow Computational fluid dynamics Computational grids Contaminants Particulates Indoor air pollution Health risks Exhaust systems Aerosols Occupational exposure
Source Agency	National Institute for Occupational Safety and Health
Corporate Authors	Vermont Univ., Burlington. Dept. of Civil and Mechanical Engineering.; National Inst. for Occupational Safety and Health, Washington, DC.
Supplemental Notes	Sponsored by National Inst. for Occupational Safety and Health, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200517

Transport Modeling of Industrial Ventilation.

Transport Modeling of Industrial Ventilation.
PB2005105193

Publication Date	1997
Personal Author	Squires, K. D.
Page Count	74
Abstract	The focus of work performed under Grant R01 OH03052 was development of new computational models appropriate for predicting contaminant transport in the complex turbulent flows encountered in industrial ventilation applications, with an emphasis on contaminants comprised of dense particulates. The newly developed models are based on large eddy simulation (LES), a more accurate technique for predicting turbulent transport than methods currently used in engineering practice. The goal of this work was to extend LES to prediction of turbulent flows transporting small particles which do not follow the flow and to validate the model against experimental measurements from well-defined test problems.
Keywords	Ventilation systems Turbulence models Industrial plants Air flow Computational fluid dynamics Computational grids Contaminants Particulates Indoor air pollution Health risks Exhaust systems Aerosols Occupational exposure
Source Agency	National Institute for Occupational Safety and Health
Corporate Authors	Vermont Univ., Burlington. Dept. of Civil and Mechanical Engineering.; National Inst. for Occupational Safety and Health, Washington, DC.
Supplemental Notes	Sponsored by National Inst. for Occupational Safety and Health, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200517