Multivariate lognormal mixture for pulp particle characterizationShow others and affiliations
2024 (English)In: Cellulose, ISSN 0969-0239, E-ISSN 1572-882X, Vol. 31, no 3, p. 1843-1854Article in journal (Refereed) Published
Abstract [en]
We present a method for pulp particle characterization based on a truncated lognormal mixture (TLM) model, as motivated by size statistics of organisms. We use an optical fiber analyzer to measure the length–width distribution of kraft-cooked roundwood or sawmill sources, of chemi-thermomechanical pulp (CTMP) samples from roundwood or sawmill sources, and the same CTMP samples after kraft post-processing. Our results show that bimodal TLMs capture salient features of the investigated pulp particle distributions, by decomposition into a large-particle and a small-particle fraction. However, we find that fibers from sawmill sources, which have not undergone mechanical treatment, cannot be described by TLM, likely due to non-random sampling. Within the confines of our dataset, the TLM characterization predicts laboratory sheet properties more effectively than conventional averaging methods for pulp particle size distributions. The TLM characterization is intended as a tool for controlling the pulp production process towards higher product quality, uniformity, and energy efficiency, pending further mill trials for validation.
Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 31, no 3, p. 1843-1854
Keywords [en]
Chemi-thermomechanical pulp, Lognormal mixture, Particle distribution, Pulp characterization
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:miun:diva-50235DOI: 10.1007/s10570-023-05686-8ISI: 001134476500001Scopus ID: 2-s2.0-85181260118OAI: oai:DiVA.org:miun-50235DiVA, id: diva2:1825336
2024-01-092024-01-092024-02-20Bibliographically approved