Characterization of Coal Mine Dust by Computer Processing of Scanning Electron Microscope Information

DeNee PB; White EW

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Characterization of Coal Mine Dust by Computer Processing of Scanning Electron Microscope Information

1972/12/29
By DeNee PB ; White EW
Series: Mining Publications

Details

Personal Author:

DeNee PB ; White EW
Description:

Coal mine dust has been characterized by computer processing of scanning electron microscope (SEM) information. Characterization of the dust is the basis for understanding aerodynamic behavior of the dust, for identifying its origin, and for monitoring the effectiveness of dust-suppression techniques. Three coal mine dust samples were analyzed according to a procedure which was described in detail. The computer program produced analytical information on particle area, equivalent circular diameter, particle perimeter, major axis dimensions, minor axis dimensions, orientation, area of fitted ellipse, perimeter of fitted ellipse, faster line, raster column, aspect ratio or shape factor of the particle, and particle type identification according to a code. [Description provided by NIOSH]
Subjects:

Atmosphere Automation Dust Occupational Health Particulate Matter Safety
Keywords:

Coal Dust Dust Analysis Methodology Microscopy Particulates Sampling
Series:

Mining Publications
ISSN:

0077-8923
Document Type:

Text
Funding:

Grant
Genre:

Journal Article
Place as Subject:

OSHA Region 3 ; Pennsylvania
CIO:

National Institute for Occupational Safety and Health (NIOSH)
Division:

PRC - Pittsburgh Research Center
Topic:

Workplace Safety & Health
Location:

North America
Volume:

200
Issue:

1
NIOSHTIC Number:

nn:00041191
Citation:

Ann NY Acad Sci 1972 Dec; 200(1):666-675
Federal Fiscal Year:

1973
Performing Organization:

Pennsylvania State University
Peer Reviewed:

True
Source Full Name:

Annals of the New York Academy of Sciences, Vol. 200, Coal Workers' Pneumoconiosis
Collection(s):

National Institute for Occupational Safety and Health
Main Document Checksum:

urn:sha-512:7c40d24e2d13496b7d87b19be8f732f1798a49d1fb172310f0600ffd5794a90e10e7f6eb1a838e53d08a4d58009c2d6af3b2b603bd5c75562c5bb4dfb40f438b
Download URL:

https://stacks.cdc.gov/view/cdc/219304/cdc_219304_DS1.pdf
File Type:

[PDF - 599.77 KB ]

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