AUTOMATION RESEARCHES IN FOREST PRODUCTS INDUSTRY
Öz
Wood is a natural polymeric material which has a heterogenic nature. The natural growth process and environmental influence can lead to features in wood that are undesirable for certain applications and are known as defects. Defects in wood affect the visual appearance and structural properties of wood. The
type of defect is based on whether growth, environmental conditions, handling or processing causes it. The definition and acceptability of defect types can vary between industries. Wood materials such as log, lumber and parquet are usually subject to a classification before selling and these materials are sold based on their quality grades. The ability to detect internal defects both in the log and lumber can save mills time and processing costs.
In this study, information on the automation research conducted for detection the defects in wood materials were given. As a result, it is indicated that there are numerous scanning methods able to detect wood features, but no one method is adequate for all defect types
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
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Bölüm
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Yazarlar
Yayımlanma Tarihi
19 Mart 2011
Gönderilme Tarihi
19 Mart 2011
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2004 Cilt: 5 Sayı: 1
