Modelling and simulation of radial spruce compression to optimize energy efficiency in mechanical pulpingShow others and affiliations
2016 (English)In: International Mechanical Pulping Conference 2016, IMPC 2016, TAPPI Press, 2016, p. 18-35Conference paper, Published paper (Refereed)
Abstract [en]
Energy efficiency of mechanical pulping is rather low. One possibility to facilitate design of more energy efficient defibration is to model and simulate wood compression. This paper presents an effort to model the behavior of Norwegian spruce in radial compression at defibration circumstances. To identify strain rate dependent properties, compression tests were conducted at both quasi-static conditions and at high strain rate. All tests were done at relevant moisture content and up to defibration zone temperatures and strain rates. Additionally the tests were performed both on native wood and on pre-fatigued wood to include behavior dependency of fatigue. The compression tests were monitored on fiber level to separately model behavior of early- and latewood. The chosen continuum model structure for earlywood and latewood was Voight-Kelvin to enable explicit viscous behavior conditioned by strain rate in parallel to the elastic behavior. The presented model is the first wood compression behavior model individually for earlywood and latewood that is based on wood experiments at industrial defibration circumstances. The influences of temperature and pre-fatigue rise are both softening as expected, The utilization of the compression model was demonstrated in an initial multilayered wood compression simulation.
Place, publisher, year, edition, pages
TAPPI Press, 2016. p. 18-35
National Category
Chemical Engineering
Identifiers
URN: urn:nbn:se:miun:diva-29839Scopus ID: 2-s2.0-85006380887ISBN: 978-151083073-8 (print)OAI: oai:DiVA.org:miun-29839DiVA, id: diva2:1063181
Conference
International Mechanical Pulping Conference 2016, IMPC 2016; Jacksonville; United States; 26 September 2016 through 28 September 2016
Note
Funding details: 251748, Academy of Finland through its Centres of Excellence Programme
2017-01-092017-01-092017-01-09Bibliographically approved