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Measurement and Optimization of Wood Dust and Noise Levels in Table Saw Operations Using Response Surface Methodology
(North Carolina State Univ Dept Wood & Paper Sci, 2025) Gul, Ozcan; Korkmaz, Mustafa
Exposure to airborne dust and noise during woodworking operations pose serious occupational health risks. This study investigated the influence of key cutting parameters -rotational speed, feed rate, tooth count, and dust collection system status -on PMio concentration and noise levels during circular sawing. Experimental measurements were conducted on six materials, including solid wood species (Scots pine, Oriental beech) and engineered wood products (plywood, medium-density fiberboard, oriented strand board, and particleboard). The collected data were analyzed using response surface methodology (RSM) to optimize cutting conditions, aiming to minimize emissions while maintaining operational efficiency. The results indicated that both material type and processing parameters notably affected dust and noise levels. Optimized cutting settings led to a measurable reduction in exposure, offering practical guidelines for improving workplace safety in the woodworking and furniture industries. This study contributes to the development of safer and more sustainable machining practices by addressing the hidden risks associated with dust and noise pollution.