Optimizing Noise Control Strategy in a Forging Workshop

• Autorzy: Razavi H. , Ramazanifar E. , Bagherzadeh J.
• Języki publikacji: EN

Abstrakty

EN

In this paper, a computer program based on a genetic algorithm is developed to find an economic solution for noise control in a forging workshop. Initially, input data, including characteristics of sound sources, human exposure, abatement techniques, and production plans are inserted into the model. Using sound pressure levels at working locations, the operators who are at higher risk are identified and picked out for the next step. The program is devised in MATLAB such that the parameters can be easily defined and changed for comparison. The final results are structured into 4 sections that specify an appropriate abatement method for each operator and machine, minimum allowance time for high-risk operators, required damping material for enclosures, and minimum total cost of these treatments. The validity of input data in addition to proper settings in the optimization model ensures the final solution is practical and economically reasonable.

Słowa kluczowe

EN

noise control; noise exposure; industrial noise pollution; genetic algorithm

PL

kontrola hałasu; hałas przemysłowy; algorytm genetyczny

• Wydawca: Taylor & Francis
• Czasopismo: International Journal of Occupational Safety and Ergonomics
• Rocznik: 2014
• Tom: Vol. 20, No. 2
• Strony: 257--264
• Opis fizyczny: Bibliogr. 19 poz., rys., tab., wykr.

Twórcy

autor

Razavi H.

• Engineering Faculty, Ferdowsi University of Mashhad, Mashhad, Iran

autor

Ramazanifar E.

• Engineering Faculty, Ferdowsi University of Mashhad, Mashhad, Iran

autor

Bagherzadeh J.

• Engineering Faculty, Ferdowsi University of Mashhad, Mashhad, Iran

Bibliografia

• 1.Eleftheriou PC. Industrial noise and its effects on human hearing, Applied Acoustics. 2002;63(1):35–42.
• 2.National Institute for Occupational Safety and Health (NIOSH). Criteria for a recommended standard. Occupational noise exposure. Revised criteria 1998 (DHHS (NIOSH) publication No. 98-126). Cincinnati, OH, USA: NIOSH; 1998. Retrieved April 29, 2014, from: http://www.cdc.gov/niosh/docs/98-126/pdfs/98-126.pdf.
• 3.Burgess M, Lai J. Noise management for the building industry: current practices and strategies for improvement. Canberra, ACT, Australia: Acoustics & Vibration Unit; 1999.
• 4.Sanders MS, McCormick EJ. Human factors in engineering and design. New York, NY, USA: McGraw-Hill; 1993.
• 5.Asawarungsaengkul K, Nanthavanij S. Design of optimal noise hazard control strategy with budget constraint. International Journal of Occupational Safety and Ergonomics (JOSE). 2006;12(4):355–67. Retrieved April 29, 2014, from: http://www.ciop.pl/19584.
• 6.Asawarungsaengkul K, Nanthavanij S. A genetic algorithm approach to the selection of engineering controls for optimal noise reduction. ScienceAsia. 2007;33:89–101.
• 7.Asawarungsaengkul K, Nanthavanij S, Chalidabhongse J. Decision support system for designing effective noise hazard prevention strategies. International Journal of Occupational Safety and Ergonomics (JOSE). 2007;13(4):451–70. Retrieved April 29, 2014, from: http://www.ciop.pl/24377.
• 8.Aluclu I, Dalgic A, Toprak ZF. A fuzzy logic-based model for noise control at industrial workplaces. Appl Ergon. 2008;39(3):368–78.
• 9.Duhamel D. Shape optimization of noise barriers using genetic algorithms. J Sound Vib. 2006;297(1–2):432–43.
• 10.Lan TS, Chiu MC. Identification of noise sources in factory’s sound field by using genetic algorithm. Applied Acoustics. 2008;69(8):733–50.
• 11.Sorainen E, Kokkola H. Optimal noise control in a carpentry plant. Applied Acoustics. 2000;61(1):37–43.
• 12.Baek KH, Elliott SJ. Natural algorithms for choosing source locations in active control systems. J Sound Vib. 1995;186(2):245–67.
• 13.Li D, Sun X. Nonlinear integer programming. (International series in operations research & management science. Vol. 84). New York, NY, USA: Springer; 2006.
• 14.Sivanandam SN, Deepa SN. Introduction to genetic algorithms. Berlin, Germany: Springer; 2008.
• 15.Nemhauser GL, Rinnooy Kan AHG, Todd MJ, editors. Optimization (Handbooks in operations research and management science. Vol. 1). Amsterdam, TheNetherlands: North Holland; 1989.
• 16.Chapman SJ. Essentials of MATLAB® programming. 2nd ed. Stamford, CT, USA: Cengage Learning; 2009.
• 17.Richards EJ (1981) On the prediction of impact noise, III: energy accountancy in industrial machines. J Sound Vib. 1981:76(2):187–232.
• 18.Wilson CE. Noise control, measurement, analysis, and control of sound and vibration. Malabar, FL, USA: Krieger; 1994.
• 19.Cheremisinoff PN. Industrial noise control. Englewood Cliffs, NJ, USA: Prentice Hall; 1993.