A new XRF analysis develops high yield pulp with even sulfonate distribution at fiber level for improved renewable packaging
Treesearch research themes:
- 1-wood components
Project partners:
- Billerud, Elettra, Mittuniversitetet, Valmet
Funding:
- J. Gust.Richert foundation
Status:
- Ongoing
This project addresses the main challenges of using environmentally friendly, renewable packaging materials due to the widespread use of plastic in the packaging industry. This interdisciplinary project aims to address the uneven distribution of fiber sulfonation and softening in wood chips, which is currently poorly understood at a micro-level. After impregnation, the distribution of sulfonation in wood chips is uneven, resulting in varying degrees of sulfonation in individual fibers. We aim to maximize chip sulfonate distribution by minimizing variation in fiber sulfonate content. A pulp made from softening chips can contain well-preserved fibers at yields more significant than 95% and minimal rejected parts, saving less than 200 kWh/h energy. Our main objective is to study these dynamic processes, develop new methods and materials, and broaden the application of forest-based materials. This project focuses on equalizing the degree of sulfonation at the fiber level by reducing sulfite dosage and increasing the softening temperature between fibers. We aim to reduce sulfite doses, minimize rejected part content, and save energy during chemical and chemical-mechanical pulping processes by impregnating wood chips with sodium and sulfur-based chemicals. Additionally, we plan to use polycapillary optic lenses in the Micro-X-ray project to improve the evenness of sulfonation in fibers. We also aim to utilize a new polycapillary X-ray optic and Niacin chemical analysis method in industrial labs to enhance the efficiency of impregnation equipment, process control, and product properties and find solutions to future impregnation issues of high-yield pulps.
Project leader:
- Hafizur Rahman
- , Mittuniversitetet
Project period:
- 1701388800
- – 1735603200