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.
Tissue paper manufacturing particulate matter control electrostatic neutralization industrial prototyping occupational safety process optimization
"The authors of this article declare that the materials and methods used in this study do not require ethics committee approval and/or legal-special permission."
TUBITAK TEYDEB-1501
3210074
We would like to thank TÜBİTAK for their support to project number 3210074 within the scope of TEYDEB 1501 Industrial R&D support program. We would also like to thank ICM Machinery and Engineering Limited Company for their support within the scope of the studies carried out.
| Primary Language | English |
|---|---|
| Subjects | Machine Design and Machine Equipment |
| Journal Section | Research Article |
| Authors | |
| Project Number | 3210074 |
| Submission Date | July 2, 2025 |
| Acceptance Date | September 4, 2025 |
| Publication Date | December 31, 2025 |
| Published in Issue | Year 2025 Volume: 11 Issue: 3 |