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Identifying suitable wood species for wooden products with multivariate data analysis
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0002-1489-0839
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0001-8404-7356
2015 (English)In: Holztechnologie, ISSN 0018-3881, Vol. 56, no 2, p. 33-36Article in journal (Refereed) Published
Abstract [en]

In many cases only few wood species are used or even considered for any given wooden product, even though there are hundreds of wood species available. The objective of this project was the development of a time efficient and structured method to identify the most suitable wood species for wooden products, based on a set of required material properties. This goal was achieved by applying multivariate data analysis. The method was based on a dataset consisting of commercially available wood species represented by many different properties. The scores and loadings of the multivariate data analysis method Principal Component Analysis (PCA) were used to identify the wood species with the most fitting property combinations for the product in question. Applying the method to an example case resulted in several plausible alternatives to the commonly used wood species. It is possible to apply the method to any wooden product by determining the set of required properties.

Place, publisher, year, edition, pages
2015. Vol. 56, no 2, p. 33-36
National Category
Other Mechanical Engineering
Research subject
Wood Science and Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-12127Local ID: b31ca72d-24ac-4dde-96de-f4a2fa174b7aOAI: oai:DiVA.org:ltu-12127DiVA, id: diva2:985077
Note

Validerad; 2015; Nivå 1; 20150507 (benney)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Neyses, BenediktHagman, Olle

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