Commenced in January 2007
Paper Count: 30172
Estimation of Individual Power of Noise Sources Operating Simultaneously
Abstract:Noise has adverse effect on human health and comfort. Noise not only cause hearing impairment, but it also acts as a causal factor for stress and raising systolic pressure. Additionally it can be a causal factor in work accidents, both by marking hazards and warning signals and by impeding concentration. Industry workers also suffer psychological and physical stress as well as hearing loss due to industrial noise. This paper proposes an approach to enable engineers to point out quantitatively the noisiest source for modification, while multiple machines are operating simultaneously. The model with the point source and spherical radiation in a free field was adopted to formulate the problem. The procedure works very well in ideal cases (point source and free field). However, most of the industrial noise problems are complicated by the fact that the noise is confined in a room. Reflections from the walls, floor, ceiling, and equipment in a room create a reverberant sound field that alters the sound wave characteristics from those for the free field. So the model was validated for relatively low absorption room at NIT Kurukshetra Central Workshop. The results of validation pointed out that the estimated sound power of noise sources under simultaneous conditions were on lower side, within the error limits 3.56 - 6.35 %. Thus suggesting the use of this methodology for practical implementation in industry. To demonstrate the application of the above analytical procedure for estimating the sound power of noise sources under simultaneous operating conditions, a manufacturing facility (Railway Workshop at Yamunanagar, India) having five sound sources (machines) on its workshop floor is considered in this study. The findings of the case study had identified the two most effective candidates (noise sources) for noise control in the Railway Workshop Yamunanagar, India. The study suggests that the modification in the design and/or replacement of these two identified noisiest sources (machine) would be necessary so as to achieve an effective reduction in noise levels. Further, the estimated data allows engineers to better understand the noise situations of the workplace and to revise the map when changes occur in noise level due to a workplace re-layout.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1331073Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1477
 Parsons, K.C., 2000. Environmental ergonomics: a review of principles, methods and models. Applied Ergonomics 31, 581-594.
 Allayne, B., Janji, N., Dufrasne, R., and Raasal, M., 1989. Costs of worker-s compensation claims for hearing loss. Journal of Occupational Medicine, 31(2): 134-138.
 Shikdar A. A, 2003, computer and industrial engineering," worker productivity and occupational and safety issues in selected industries", vol. 45, pp 563-572.
 Kryter, K.D., 1970. The Effects of Noise on Man. Academic, New York.
 Kolvalchik, P., G, et al, 2008, Journal of safety research, "Application of prevention through design for hearing loss in the mining industry", vol. 39, pp 251-254.
 NFPA, 1993. National Fire Alarm Code, Quincy, MA National Fire Protection Association.
 OSHA, 1981. Occupational Noise exposure; Hearing Conversation Amendment.
 Lu, S-Y, Hong, Y-J., 2005. Least square error method to estimate individual power of noise sources under simultaneous operating conditions. International Journal of Industrial Ergonomics 35, 755-760.
 Jenson, P., Jokel, C.R., Miller, L.N., 1978. Industrial Noise Control Manual. U.S. Government Printing Office, Washington, DC.
 Beranek, L.L., 1971. Noise and Vibration Control. McGraw-Hill, New York.
 Wilson, C.E., 1989. Noise Control. Harper & Row, New York.
 Nanthavanij, S., Yenradee, P., 1999. Predicting the optimal number, location, and signal sound level of auditory warning devices for manufacturing facilities. International Journal of Industrial Ergonomics 24, 569-578.