U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Performance of dust respirators with facial seal leaks: II. Predictive model.



Details

  • Personal Author:
  • Description:
    Mathematical models for predicting filter and facial leak penetration of dust respirators were described. The models were based on previously obtained experimental data on filter and leak performance of dust respirators against oleic-acid aerosols having particles with aerodynamic diameters of 0.14 to 11.34 microns. A spread sheet was written that combined the data on penetration versus aerodynamic diameter for filter and facial seal leaks at different pressure drops. The data were treated by a computerized regression program to yield equations that expressed percentage leak penetration as a function of particle diameter or particle diameter, pressure drop, and work rate. The equations predicted the data with a root mean square accuracy of 15.9 and 13.8 percent for dust, and fume and mist cartridges, respectively, and 19.2 percent for single/use respirators. A simplified linear equation that expressed percentage leak penetration as a function of the correction factor (CF) that depended on the work rate that the respirator was to be used and a factor that expressed the leakage as a fraction of the total flow rate under sedentary conditions (work rate equal to zero) was also derived. The equation could predict the experimental data with an accuracy of 25 percent. The authors conclude that the equations can predict respirator performance as a function of aerosol particle size for any work rate and leak penetration. The models offer a possible alternative to field measurements of performance. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    0002-8894
  • Document Type:
    Text
  • Funding:
    Grant
  • Genre:
    Journal Article
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Volume:
    48
  • Issue:
    10
  • NIOSHTIC Number:
    nn:00173881
  • Citation:
    Am Ind Hyg Assoc J 1987 Oct; 48(10):842-847
  • Contact Point Address:
    Environ and Nutritional Scis University of California 405 Hilgard Avenue Los Angeles, Calif 90024
  • Federal Fiscal Year:
    1988
  • Performing Organization:
    University of California Los Angeles, Los Angeles, California
  • Peer Reviewed:
    True
  • Start Date:
    19830923
  • Source Full Name:
    American Industrial Hygiene Association Journal
  • End Date:
    19920831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:c56510ce1c5f42e22edf22ffef9fee45133df4ac5af3c9abe7b2b14689b267a5d1bd8da8ec33c750cbbc0eed0fbdd0bdf51fe65fd50fedd3fb2675eaa3f1e88b
  • Download URL:
  • File Type:
    Filetype[PDF - 670.01 KB ]
PREVIOUS
ON THIS PAGE
Details
CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
BACK TO TOP