AI Summary & Key Takeaways
AI InsightResults show an 86.6% reduction in airborne dust (from 783 to 105 µg/m³), and a weight loss of 1.41 g per 100-unit pack due to dust removal.
📌 3 Key Takeaways
Abstract
This study introduces an innovative prototype designed to mitigate dust emissions in tissue paper manufacturing, addressing key challenges in product quality, worker health, and environmental sustainability. The system integrates static charge neutralization, mechanical vibration, and vacuum extraction to effectively capture airborne particles. Experimental validation was performed in a controlled 55 m³ environment (4 × 4.3 × 3.2 m) with a line speed of 250 m/min and a web width of 350 mm. Comparative trials under active and inactive conditions utilized a laser particle sensor and precision balance to quantify ambient dust concentrations and product mass variations. Results show an 86.6% reduction in airborne dust (from 783 to 105 µg/m³), and a weight loss of 1.41 g per 100-unit pack due to dust removal. Over an 8-hour shift, a total of 418.7 g of dust is extracted from the tissue—93.7 g captured in the filter and 325 g in the cyclone. These findings highlight improvements in production hygiene, reduced respiratory risks for workers, and enhanced sustainability through waste minimization. The prototype facilitates compliance with occupational health and safety standards and demonstrates scalability across various tissue production lines, including recycled and virgin fibre applications.