Mining Publication: Mine Face Ventilation: A Comparison of CFD Results Against Benchmark Experiments for the CFD Code Validation
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Original creation date: October 2007
Computational fluid dynamics (CFD) is a continually developing numerical technique by which complex fluid-flow problems can be solved on computers. To be able to transfer CFD expertise to analyze and design a face-ventilation system, a comprehensive validation study of current CFD tools against mining-related benchmark experiments is required. In the last four years, such studies, funded by National Institute for Occupational Safety and Health (NIOSH) under Grant #R01 CCR415822, were conducted in the Department of Mining Engineering at the University of Kentucky. A wide array of ventilation schemes and mining configurations were considered. Recently, an additional study was performed in cooperation with the NIOSH Pittsburgh Research Laboratory. This study was dedicated to the methane behavior in the empty (containing no equipment) face area with a blowing curtain and a 10.7-m (35-ft) setback. In this paper, the authors present and discuss the computer-simulation data and compare them with data collected during the laboratory studies at the NIOSH lab.
Authors: AM Wala, VV Vytla, CD Taylor, G Huang
Peer Reviewed Journal Article - October 2007
NIOSHTIC2 Number: 20032723
Min Eng 2007 Oct; 59(10):49-55
See Also
- The Critical Ventilation Velocity in Tunnel Fires - A Computer Simulation
- Development and Application of Reservoir Models and Artificial Neural Networks for Optimizing Ventilation Air Requirements in Development Mining of Coal Seams
- Development of Multiple Regression Functions for Performance Prediction of Gob Gas Ventholes for Sealed and Active Longwall Mines
- Effects of Far-Field Shearing Deformation on Fracturing Around an Underground Opening
- Effects of Ventilation and Gob Characteristics on Spontaneous Heating in Longwall Gob Areas
- Evaluation of Mine Illumination Systems Using Numerical Modeling
- Improvement of a Mine Fire Simulation Program — Incorporation of Smoke Rollback into MFIRE 3.0
- Modeling and Prediction of Ventilation Methane Emissions of U.S. Longwall Mines Using Supervised Artificial Neural Networks
- Study of Mine Fires and Mine Ventilation: Part I, Computer Simulation of Ventilation Systems Under the Influence of Mine Fires
- Using Ultrasonic Anemometers to Evaluate Face Ventilation Conditions
- Content source: National Institute for Occupational Safety and Health, Mining Program