A Simple Spreadsheet Tool for Noise Path Characterization

Details

• Personal Author:
  Beamer B ; Chen K ; Copley D ; Herrin DW ; Hua X ; Ippili S
• Description:
  Many industries, like aerospace and automotive, are well staffed and are equipped to consider noise control even in the early product development stages. However, noise control practice is inadequate in many industrial sectors including textile, paper, metal fabrication, and food preparation. The objective of this work is to develop a simple spreadsheet tool that can be used to predict the effectiveness of common noise control measures. Though some basic noise control knowledge is needed, the user need not be a noise control expert. The methods and relevant theory are described, and the model is tested on several examples. [Description provided by NIOSH]
• Subjects:
  Noise Noise, Occupational Occupational Exposure Occupational Health Safety
• Keywords:
  Industrial Noise Models Noise Control Noise Exposure Noise Levels Occupational Exposure
• ISSN:
  0736-2935
• Publisher:
  The Institute of Noise Control Engineering
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  Illinois ; Kentucky ; Ohio ; OSHA Region 4 ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DFSE - Division of Field Studies and Engineering
• Topic:
  Workplace Safety & Health
• Location:
  North America
• NIOSHTIC Number:
  nn:20062075
• Citation:
  NOISE-CON 2020. The 35th Conference of the Institute of Noise Control Engineering, November 16-20, 2020, Virtual Event. Washington, DC: The Institute of Noise Control Engineering of the USA, 2020 Oct; :917-924
• Email:
  dherrin@engr.uky.edu
• Federal Fiscal Year:
  2021
• Peer Reviewed:
  False
• Source Full Name:
  NOISE-CON 2020. The 35th Conference of the Institute of Noise Control Engineering, November 16-20, 2020, Virtual Event
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:29862a2904c4e07adcd6ff227ad0dd74c1f272ddf79cfd49493f31f6272dcd457e442e3d44ae71c6aea931471c9aa2819ab20115f6403f5475f4c82174a56ede
• Download URL:
  https://stacks.cdc.gov/view/cdc/225393/cdc_225393_DS1.pdf
• File Type:
  [PDF - 1.53 MB ]