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Analysis of strength grading of sawn timber based on numerical simulation
ID Turk, Goran (Author), ID Ranta - Maunus, Alpo (Author)

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PID: 20.500.12556/rul/419d081b-c941-4986-a568-e9ec3a9130cd

Abstract
The main problem in machine strength grading of wood lies in the grade determining parameters and machine grading parameters, which are all stochastic, and the correlation between them is of critical importance. Therefore it is difficult to reliably determine the grade of a particular piece. In order to understand the effectiveness and accuracy of machine grading a large number of experiments should be performed in which the non-destructive machine grading parameters as well as destructive grade determining parameters should be determined. So far we have had access to only a limited number of such experiments. The basic idea of this paper is to use experimental data only for the determination of statistical parameters - mean vector and variance - covariance matrix - and afterwards use these statistical parameters in numerical simulation of machine grading. This numerical procedure gave some valuable data on the average values and the variability of grading results which now make it easier to decide what sample size should be used in determining machine settings.

Language:English
Keywords:timber grading, numerical simulations, optimization
Typology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publisher:Springer Verlag
Year:2004
Number of pages:Str. 493-505
Numbering:Vol. 38, Št. 7
PID:20.500.12556/RUL-32122 This link opens in a new window
UDC:624
ISSN on article:0043-7719
DOI:10.1007/s00226-004-0254-4 This link opens in a new window
COBISS.SI-ID:2637921 This link opens in a new window
Publication date in RUL:10.07.2015
Views:2769
Downloads:961
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Record is a part of a journal

Title:Wood science and technology
Shortened title:Wood sci. technol.
Publisher:Springer Nature, International Academy of Wood Science
ISSN:0043-7719
COBISS.SI-ID:9151749 This link opens in a new window

Secondary language

Language:English
Keywords:razvrščanje lesa, numerične simulacije, optimizacija

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