Kalisalvan, Precin and Ab Karim, Mohd Sayuti and Musa, Siti Nurmaya (2025) Design and Evaluation of Noise Simulation Algorithm Using MATLAB Ray Tracing Engine for Noise Assessment and Prediction. Applied Sciences-Basel, 15 (3). p. 1009. ISSN 2076-3417, DOI https://doi.org/10.3390/app15031009.
Full text not available from this repository.Abstract
Featured Application Noise simulation and prediction algorithm prioritising ease of use and standard integration to encourage adherence to safety practices.Abstract The Malaysian Department of Occupational Safety and Health (DOSH) reported that noise-induced hearing loss (NIHL) accounted for 92% of occupational diseases in 2019. To address this, accurate risk assessment is crucial. The current noise evaluation methods are complex and time-consuming, relying on manual calculations and field measurements. An easy-to-use, open-source noise simulator that directly compares the output with national standards would help mitigate this issue. This research aims to develop an advanced noise evaluation tool to assess and predict unregulated workplace noise, providing tailored safety recommendations. Using a representative plant layout, the Sound Pressure Level (SPL) is calculated using MATLAB's ray tracing propagation model. The model simulates all possible transmission paths from the source to the receiver to derive the resultant SPL. A noise simulation application featuring a graphical user interface (GUI) built with MATLAB's App Designer (version: R2024a) automates these computations. The simulation results are validated against the DOSH's safety standards in Malaysia. Additional safety metrics, such as the recommended maximum exposure time and the required Noise Reduction Rating (NRR) for hearing protection, are calculated based on the SPLs for hazardous locations. The simulation algorithm's functionality is validated against manual calculations, with an average deviation of just 3.06 dB, demonstrating the model's precision. This tool can assess and predict indoor noise levels, provide information on optimal exposure limits, and recommend necessary protective measures, ultimately reducing the risk of NIHL in factory environments. It can potentially optimise plant floor operations for existing and new facilities, ensuring safer shift operations and reducing worker noise hazard exposure.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Education, Malaysia (FP051-2019A), MINISTRY OF HIGHER EDUCATION, MALAYSIA, under the Fundamental Research Grant Scheme (FRGS) |
| Uncontrolled Keywords: | occupational safety; hazards; hearing disorder; noise prediction; ray tracing; manufacturing industry |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 22 Apr 2025 08:29 |
| Last Modified: | 22 Apr 2025 08:29 |
| URI: | http://eprints.um.edu.my/id/eprint/47937 |
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