CFD modeling of a novel wet scrubber for capture of respirable dust in an underground coal mine

S. Arya, W. C. Wedding, A. Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Controlling dust generation and keeping it below permissible limits at the working face of a room and pillar mine is a challenge for mine operators. With the recent changes in the respirable-dust regulation, it has become increasingly difficult. The current most effective practice of dust control at a continuous miner face in an underground mine is the use of a flooded-bed scrubber. A study carried out by the National Institute for Occupational Safety and Health (NIOSH) stated that a flooded-bed scrubber, under its optimum condition, can achieve cleaning efficiencies between 58 and 90 percent. The performance of such a system can be maintenance intensive. Other industries face similar dust control issues. The University of Kentucky partnered with Toyota Motor Manufacturing for the development of a novel wet scrubber for capturing paint overspray, with capture efficiencies in excess of 98 percent and minimal maintenance. The aim of this study is to assess the ability of this novel wet scrubber to capture respirable dust in an underground coal mine. This paper presents the conceptual design and the computational fluid dynamics (CFD) modeling of this novel wet scrubber. It discusses the results of the CFD simulation performed on the novel wet dust scrubber.

Original languageEnglish (US)
Title of host publication2016 SME Annual Conference and Expo
Subtitle of host publicationThe Future for Mining in a Data-Driven World
PublisherSociety for Mining, Metallurgy and Exploration
Pages786-789
Number of pages4
ISBN (Electronic)9781510825659
StatePublished - 2016
Event2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World - Phoenix, United States
Duration: Feb 21 2016Feb 24 2016

Publication series

Name2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World

Other

Other2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World
Country/TerritoryUnited States
CityPhoenix
Period2/21/162/24/16

All Science Journal Classification (ASJC) codes

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

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