This project was concluded in 2021.
Project information
Project manager at Linnaeus University
Sigurdur Ormarsson
Other project members
Lars Blomqvist and Magdalena Sterley, RISE (Research Institutes of Sweden), Sweden, and others
Participating organizations
RISE, Linnaeus University, Kinnarps AB, AkzoNobel Adhesives AB and Bendinggroup AB, Sweden
Financier
Vinnova, the Swedish Energy Agency, Formas
Timetable
1 March 2019–1 March 2021
Subject
Building technology (Department of Building Technology, Faculty of technology)
Website
Ri.se/en/what-we-do/projects/performance-prediction-biobased-product
More about the project
The aim of the project is to develop a prediction tool for laminated veneer products (LVPs), to improve product performance by reducing rejects and customer complaints and reducing the time from idea to market.
The main material components used in the production of LVPs are thin veneer sheets of wood, which are glued together under a high pressure during the moulding process. When a deviation from the intended shape occurs, it poses a major problem for both manufacturers and customers. There is a lot of money to earn and resources to save for the producers and users of laminated veneer products if rejects of LVPs could be reduced.
During moulding of LVPs, the veneers are exposed to moisture-related stresses and a significant mechanical compression of the thickness. Previous surveys have indicated that the surface pressure during moulding is often uneven, which may affect the shape stability and strength of the final product.
To obtain a reliable statistical basis on how the shape stability and strength are affected by different material and process parameters, a number of tests will be performed on several small samples. The test results will be used for validation and development of a simulation model of LVPs. The focus of tests are to study both mechanical and structural properties at different times during the curing process and relate them to the cell structure properties of the wood material. The test samples are selected to provide an experimental basis for validation of the simulation tool.