Sökning: "machine grading"

Visar resultat 1 - 5 av 18 avhandlingar innehållade orden machine grading.

  1. 1. Studies of the fibre direction and local bending stiffness of Norway spruce timber : for application on machine strength grading

    Författare :Min Hu; Marie Johansson; Mats Ekevad; Linnéuniversitetet; []
    Nyckelord :AGRICULTURAL SCIENCES; LANTBRUKSVETENSKAPER; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; digital image correlation; diving angle; fibre angle; grain angle; indicating property; laser scanning; modulus of elasticity; tracheid effect; Forestry and Wood Technology; Skog och träteknik;

    Sammanfattning : Machine strength grading is a production process in the sawmill industry used to grade sawn timber boards into different strength classes with specific characteristic values of the bending strength, modulus of elasticity (MOE) and density. These properties are called grade determining properties. LÄS MER

  2. 2. Integrated strength grading

    Författare :Mattias Brännström; Luleå tekniska universitet; []

    Sammanfattning : This work comprises strength grading for structural timber according to European standards and prediction of grade-determining properties by various technologies and in various stages of the sawmilling process. The detection technologies applied on logs were outer shape scanning, laser scattering, x-ray scanning and resonance analysis. LÄS MER

  3. 3. Thermally Modified Timber : Novel Aspects of Bending Behaviour Towards Grading and Structural Applications

    Författare :Joran van Blokland; Stergios Adamopoulos; Anders Olsson; Jan Oscarsson; Mark Hughes; Linnéuniversitetet; []
    Nyckelord :AGRICULTURAL SCIENCES; LANTBRUKSVETENSKAPER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; LANTBRUKSVETENSKAPER; ENGINEERING AND TECHNOLOGY; AGRICULTURAL SCIENCES; checks; cracks; digital image correlation; four-point static bending; fracture characteristics; grade determining properties; non-destructive testing; Norway spruce; machine learning; outdoor above-ground exposure; timber grading; scanning electron microscopy; scanning of fibre direction; strain distribution; ThermoWood®; weathering; Forestry and Wood Technology; Skog och träteknik; Byggteknik; Civil engineering;

    Sammanfattning : Thermally modified timber (TMT) has gained market share in Europe as an environmentally friendly and durable building material. Unfortunately, TMT products are currently prohibited for use in structural applications as there is insufficient data to estimate the loss in strength due to thermal modification. LÄS MER

  4. 4. Modelling the Variability of Bending Strength in Structural Timber - Length and Load Configuration Effects

    Författare :Tord Isaksson; Avdelningen för Konstruktionsteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; code; reliability-based design; Weibull; test standard; load configuration effect; length effect; weak section; machine grading; visual grading; variability; Structural timber; bending strength; simulation; monte carlo simulation.; Building construction; Byggnadsteknik;

    Sammanfattning : The load carrying capacity of a beam of structural timber is dependent both on the span of the beam and the type of loading. The longer the beam and the more uniform the moment distribution, the lower the load carrying capacity. This phenomenon is due to the variability of material properties within a piece of timber. LÄS MER

  5. 5. Patterns in big data bioinformatics : Understanding complex diseases with interpretable machine learning

    Författare :Mateusz Garbulowski; Jan Komorowski; Ryan J. Urbanowicz; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; complex diseases; big data; machine learning; transcriptomics; life sciences; rough sets; Bioinformatics; Bioinformatik;

    Sammanfattning : Alterations in the flow of genetic information may lead to complex diseases. Such changes are measured with various omics techniques that usually produce the so-called “big data”. Using interpretable machine learning (ML), we retrieved patterns from transcriptomics data sets. LÄS MER