Sound radiation modeling and correlation of a longwall cutting drum.
Authors
Yang-J; Camargo-H; Yantek-DS; Gardner-B
Source
NOISE-CON 2013. The 28th Conference of the Institute of Noise Control Engineering, August 26 - 28, 2013, Denver, Colorado. Washington, DC: The Institute of Noise Control Engineering of the USA, 2013 Aug; :NC13-54
Abstract
Longwall mining systems produce around 50% of the coal from underground mines in the U.S. The operators of these systems experience sound levels of 93-105 dB(A) and receive noise exposures that place them at risk of noise-induced hearing loss. In previous field surveys, the cutting drums were identified as a major noise source, especially considering their close proximity to the operators. Because the longwall mining system is too large, heavy, and expensive to readily test in a laboratory, researchers from the National Institute for Occupational Safety and Health (NIOSH) used numerical simulation to evaluate potential noise control treatments. In this paper, hybrid finite element/statistical energy analysis (hybrid FE/SEA), finite element (FE), boundary element methods (BEM), and the fast multipole method (FMM) BEM were compared for their ability to predict the noise radiated from the vibrating drum structure. The comparison indicated that the BEM results were the most accurate, and a reasonable correlation between the BEM predictions and the measured data in a shop environment was obtained. In addition, the modeling of the BEM is easier because only a surface mesh is needed, and the BEM model can be easily converted to FMM BEM when the analysis goes to higher frequencies. So BEM was chosen as the best solution for the further analysis of the longwall cutting drum sound radiation.
Keywords
Noise; Noise-levels; Noise-measurement; Sound; Hearing; Ears; Permissible-limits; Exposure-assessment; Exposure-levels; Exposure-limits; Noise-induced-hearing-loss; Short-term-exposure; Machine-tools; Air-pressure; Power-generation; Cutting-tools; Longwall-mining; Mining-industry; Coal-mining; Models
Contact
Junyi Yang, National Institute for Occupational Safety and Health, Office of Mine Safety and Health Research, 626 Cochrans Mill Road, Pittsburgh, PA 15236
Document Type
Conference/Symposia Proceedings
Email Address
JYang4@cdc.gov
Source Name
NOISE-CON 2013. The 28th Conference of the Institute of Noise Control Engineering, August 26 - 28, 2013, Denver, Colorado
