Determination of Noise Emissions of Band Saw Machines Based on Operating Conditions in Timber Enterprises: A Case Study of Kahramanmaraş

This study aims to evaluate and map the occupational noise emissions generated by band saw machines in the timber and forest products industry under different operating conditions. Field measurements were carried out across 25 active sawmill enterprises in Kahramanmaraş, Turkey, in compliance with the ISO 9612 (2025) standard. Noise levels were monitored using a calibrated TESTO 815 sound level meter at the operator's ear level under two operational states: idle and loaded (active wood cutting). The collected data were analyzed using descriptive statistics and a Paired-Samples t-test. The empirical results showed that the average equivalent noise level (Leq) of band saw machines during idle operation was 85.29 dB(A). Upon transitioning to the loaded cutting state, the noise level increased significantly to an average of 100.05 dB(A) (p < 0.001), representing a net average increase of 14.76 dB(A). Furthermore, the average maximum instantaneous noise level (Lmax) during cutting operations reached 104.95 dB(A), with peak values hitting 108.13 dB(A). These findings indicate that band saws emit hazardous noise levels that systematically exceed the international permissible exposure limits of 85 dB(A) set by the ILO, even while idling. Despite these severe risks, low personal protective equipment (PPE) utilization was observed among the workers. The study concludes that engineering controls, administrative exposure rotations, and comprehensive programs to improve occupational health literacy are urgently required in regional sawmill operations to prevent irreversible noise-induced hearing loss.

Authors

Institutions

Publication Details

Journal
Bilge International Journal of Science and Technology Research
Published
2026-10-14
DOI
https://doi.org/10.30516/bilgesci.1995058
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determination of Noise Emissions of Band Saw Machines Based on Operating Conditions in Timber Enterprises: A Case Study of Kahramanmaraş

Yunus ŞAHİN
Bilge International Journal of Science and Technology Research
Noise Effects and Management
article

Determination of Noise Emissions of Band Saw Machines Based on Operating Conditions in Timber Enterprises: A Case Study of Kahramanmaraş

Yunus ŞAHİN
article en

Abstract

This study aims to evaluate and map the occupational noise emissions generated by band saw machines in the timber and forest products industry under different operating conditions. Field measurements were carried out across 25 active sawmill enterprises in Kahramanmaraş, Turkey, in compliance with the ISO 9612 (2025) standard. Noise levels were monitored using a calibrated TESTO 815 sound level meter at the operator's ear level under two operational states: idle and loaded (active wood cutting). The collected data were analyzed using descriptive statistics and a Paired-Samples t-test. The empirical results showed that the average equivalent noise level (Leq) of band saw machines during idle operation was 85.29 dB(A). Upon transitioning to the loaded cutting state, the noise level increased significantly to an average of 100.05 dB(A) (p < 0.001), representing a net average increase of 14.76 dB(A). Furthermore, the average maximum instantaneous noise level (Lmax) during cutting operations reached 104.95 dB(A), with peak values hitting 108.13 dB(A). These findings indicate that band saws emit hazardous noise levels that systematically exceed the international permissible exposure limits of 85 dB(A) set by the ILO, even while idling. Despite these severe risks, low personal protective equipment (PPE) utilization was observed among the workers. The study concludes that engineering controls, administrative exposure rotations, and comprehensive programs to improve occupational health literacy are urgently required in regional sawmill operations to prevent irreversible noise-induced hearing loss.

Bilge International Journal of Science and Technology ResearchVol. 10(2)
Kahramanmaraş Sütçü İmam University (TR)
Decent work and economic growth
Openalex Percentile: Top 7%
Noise Effects and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.