Modeling capture efficiency for a flooded bed dust scrubber incorporated into a longwall shearer using a small scale physical model and CFD

  • A. R. Kumar
  • , W. C. Wedding
  • , A. Jolly
  • , S. Arya
  • , T. Novak

Producción científica: Conference contributionrevisión exhaustiva

2 Citas (Scopus)

Resumen

Coal dust in an underground mining environment has always been a health and safety issue, especially with longwall faces. Efforts to integrate a flooded bed scrubber within a longwall shearer are underway at the University of Kentucky (UK) in order to reduce worker exposure. Small scale physical modeling, along with numerical modeling and full-scale experimentation, are engineering tools being used by the authors for simulating operating conditions underground. Recent advances in affordable 3D printers offer a means for fabricating accurate, scale models for obtaining timely insights prior to building large, expensive test setups. Comparing scale-model results with those of numerical modeling, such as computational fluid dynamics (CFD), lends guidance and confidence in a proposed design. This paper discusses the small scale physical modeling of a longwall shearer with an incorporated flooded-bed dust scrubber in its operating environment. A tracer gas was used in the model in lieu of dust to measure dust-capture efficiency. Results obtained from the physical model are presented and compared with those of CFD model. The small scale model and the CFD results demonstrate good agreement. Dust capture results show the usefulness of the approach in advance of actual design implementation.

Idioma originalEnglish
Título de la publicación alojada2016 SME Annual Conference and Expo
Subtítulo de la publicación alojadaThe Future for Mining in a Data-Driven World
Páginas584-586
Número de páginas3
ISBN (versión digital)9781510825659
EstadoPublished - 2016
Evento2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World - Phoenix, United States
Duración: feb 21 2016feb 24 2016

Serie de la publicación

Nombre2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World

Conference

Conference2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World
País/TerritorioUnited States
CiudadPhoenix
Período2/21/162/24/16

Nota bibliográfica

Publisher Copyright:
Copyright © 2016 by SME.

ASJC Scopus subject areas

  • Geology
  • Geochemistry and Petrology
  • Geotechnical Engineering and Engineering Geology

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