Methodology to Forecast the Efficiency of Noise-Insulating Linings of Transport and Technological Machines


For citation.
Krasnov A.V. Methodology to Forecast the Efficiency of Noise-Insulating Linings of Transport and Technological Machines. Bezopasnost Truda v Promyshlennosti = Occupational Safety in Industry. — 2025. — № 2. — рр. 7-11. (In Russ.). DOI: 10.24000/0409-2961-2025-2-7-11


Annotation:

Reducing the noise levels of transport and technological machines operated in the mining industry is highly relevant in order to ensure safe working conditions for employees. According to the results of studies, a significant number of drivers and operators of such machines (dump trucks, loaders, bulldozers, etc.) are exposed to increased noise levels during a working shift, which reduces their operability, causes decreased concentration, and the development of professional illnesses. 
To reduce the medium- and high-frequency noise levels transmitted to the cabin space of transport and technological machines molded linings of front panels, floors, and sidewalls are widely used. For the development of noise-insulating linings, it is critically important to assess (forecast) their acoustic efficiency at the early stages of machine design. To address the problem, it is proposed to use a calculation & experimental methodology based on the division of surfaces of molded noise-insulating linings on elementary flat sections, measurement of their acoustic efficiency, and the subsequent calculation of characteristics of a full-scale lining. A description of the methodology and an example of its practical use to design the lining of the front partition of the transport and technological machine’s cabin is provided.

References:
1. Shornikova E.V., Prokopenko L.V., Kolikov K.S., Yushkova O.I., Mikhailova V.N. Physiological Assessment of Miners Noise Exposure and Measures for Its Prevention. Zdorove Naseleniya i Sreda Obitaniya = Public Health and Life Environment. 2020. № 7. pp. 24–29. (In Russ.). DOI: 10.35627/2219-5238/2020-328-7-24-29
2. Fokin V.A. Assessment of the health risk of workers in the extractive industries in conditions of noise exposure above 80 dBA. Meditsina truda i promyshlennaya ekologiya = Russian Journal of Occupational Health and Industrial Ecology. 2020. Vol. 60. № 11. pp. 867–869. (In Russ.). DOI: 10.31089/1026-9428-2020-60-11-867-869
3. Fadeev A.G., Goryaev D.V., Shur P.Z., Fokin V.A. Assessing degree of exposure to vibroacoustic occupational factors for mining industry workers in Arctic zone. Analiz riska zdorovyu = Health Risk Analysis. 2023. № 4. pp. 96–103. (In Russ.). DOI: 10.21668/health.risk/2023.4.09
4. Dhatrak S.V., Shah I.A., Prajapati S.S. Determinants of discomfort from combined exposure to noise and vibration in dumper operators of mining industry in India. Journal of Occupational and Environmental Hygiene. 2024. Vol. 21. Iss. 6. pp. 389–396. DOI: 10.1080/15459624.2024.2328296
5. Syurin S.A. Occupational health risks in mining dump truck drivers. Gigiena i sanitariya = Hygiene and Sanitation. 2022. Vol. 101. № 8. pp. 969–975. (In Russ.). DOI: 10.47470/0016-9900-2022-101-8-969-975
6. Krasnov A.V. About One of the Approaches to Forecasting and Increasing Noise Absorption in the Cabins of Transport and Technological Machines. Bezopasnost Truda v Promyshlennosti = Occupational Safety in Industry. 2023. № 11. pp. 84–89. (In Russ.). DOI: 10.24000/0409-2961-2023-11-84-89
7. Luo Z., He C., Luo Y., Zhou X., Yan M., Guo F. Sound insulation performance of vehicle inner-dash insulators. Journal of Vibration and Shock. 2018. Vol. 37. № 7. pp. 254–258. DOI: 10/13465/j.cnki.jvs.2018.07.038
8. Gur Y., Pan J., Huber J., Wallace J. MMLV: NVH Sound Package Development and Full Vehicle Testing. SAE Technical Paper. 2015. DOI: 10.4271/2015-01-1615
9. Saha P. Acoustical Materials: Solving the Challenge of Vehicle Noise. SAE International. 2021. 318 p. 
10. Pang J. Noise and Vibration Control in Automotive Bodies. Beijing: John Wiley & Sons, 2018. 528 p.
11. Wang Y., Guo H., Yang C. Vehicle Interior Sound Quality: Analysis, Evaluation and Control. Gateway: Springer Nature Singapore, 2023. 280 p. DOI: 10.1007/978-981-19-5579-2
12. SAE J1400_202310. Laboratory Measurement of the Airborne Sound Barrier Performance of Flat Materials and Assemblies. Warrendale: SAE International, 2023. 23 p. DOI: 10.4271/J1400_202310
13. Jain S.K., Shravage P., Joshi M., Karanth N.V. Acoustical Design of Vehicle Dash Insulator. SAE Technical Paper. 2011. DOI: 10.4271/2011-26-0022
14. Rondeau J.-F., Duval A., Monet-Descombey J., Dejaeger L. Equivalent curvatures broadband Insertion Loss simulation technique coupling Virtual SEA and BEM/FEM approaches. InterNoise Proceeding. Innsbruck, 2013. pp. 3978–3987.
DOI: 10.24000/0409-2961-2025-2-7-11
Year: 2025
Issue num: February
Keywords : occupational safety production noise кабины transport and technological machine noise-insulating lining
Authors:
  • Krasnov A.V.
    Cand. Sci. (Eng.), Assoc. Prof., kaw@ya.ru, Togliatti State University, Togliatti, Russian Federation