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Computational fluid dynamics modelling of respirable dust and gas behaviour on a longwall face

Conference Paper


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Abstract


  • Longwall mining is the dominant form of underground coal mining methods in Australia. As production

    increases there is also a need for increased face ventilation rate for gas dilution and dust mitigation. The

    behaviour of gas emission and respirable dust in a longwall face is a complex process because of the nature

    of longwall operations. The generation, dispersion and transport of airborne dust and gas are governed

    mainly by the spatial velocity and the movement pattern of the ventilation air. To understand the gas and

    dust behaviour in a complex longwall mining environment and to evaluate the effectiveness of various dust

    control techniques, numerical modelling has become a necessity to supplement laboratory experiments and

    field studies. Three-dimensional (3D) computational fluid dynamics (CFD) model was developed based on a

    longwall face extracting a medium seam (3.2 m) to investigate the aerodynamics of methane gas emitting

    from drum cutting actions, and respirable dust from different sources. The model was developed to

    incorporate key features on the longwall, including the shearer, armoured face conveyor (AFC), chocks,

    outbye facilities and dust control devices. The base CFD model was calibrated using field ventilation survey

    data and used to study the behaviour of longwall gas and dust dispersion patterns that are vital to the

    safety and productivity of the longwall face.

UOW Authors


  •   Ren, Ting
  •   Wang, Zhongwei (external author)

Publication Date


  • 2013

Citation


  • Ren, T. & Wang, Z. (2013). Computational fluid dynamics modelling of respirable dust and gas behaviour on a longwall face. Australian Mine Ventilation Conference (pp. 191-200). Australia: Australasian Institute of Mining and Metallurgy.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3416&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2407

Start Page


  • 191

End Page


  • 200

Place Of Publication


  • https://www.ausimm.com.au/publications/epublication.aspx?ID=15516

Abstract


  • Longwall mining is the dominant form of underground coal mining methods in Australia. As production

    increases there is also a need for increased face ventilation rate for gas dilution and dust mitigation. The

    behaviour of gas emission and respirable dust in a longwall face is a complex process because of the nature

    of longwall operations. The generation, dispersion and transport of airborne dust and gas are governed

    mainly by the spatial velocity and the movement pattern of the ventilation air. To understand the gas and

    dust behaviour in a complex longwall mining environment and to evaluate the effectiveness of various dust

    control techniques, numerical modelling has become a necessity to supplement laboratory experiments and

    field studies. Three-dimensional (3D) computational fluid dynamics (CFD) model was developed based on a

    longwall face extracting a medium seam (3.2 m) to investigate the aerodynamics of methane gas emitting

    from drum cutting actions, and respirable dust from different sources. The model was developed to

    incorporate key features on the longwall, including the shearer, armoured face conveyor (AFC), chocks,

    outbye facilities and dust control devices. The base CFD model was calibrated using field ventilation survey

    data and used to study the behaviour of longwall gas and dust dispersion patterns that are vital to the

    safety and productivity of the longwall face.

UOW Authors


  •   Ren, Ting
  •   Wang, Zhongwei (external author)

Publication Date


  • 2013

Citation


  • Ren, T. & Wang, Z. (2013). Computational fluid dynamics modelling of respirable dust and gas behaviour on a longwall face. Australian Mine Ventilation Conference (pp. 191-200). Australia: Australasian Institute of Mining and Metallurgy.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3416&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2407

Start Page


  • 191

End Page


  • 200

Place Of Publication


  • https://www.ausimm.com.au/publications/epublication.aspx?ID=15516