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IR and NIR separation techniques for particle boards made of recycling wood

: Meinlschmidt, P.

Waschki, U. ; Gesellschaft für Bergbau, Metallurgie, Rohstoff- und Umwelttechnik -GDMB-; TH Aachen -RWTH-:
Sensorgestützte Sortierung 2008 : Gemeinsame Tagung des Instituts für Aufbereitung der RWTH Aachen und der GDMB Gesellschaft für Bergbau, Metallurgie, Rohstoff- und Umwelttechnik e.V. am 4.-6. März 2008 in Aachen
Clausthal-Zellerfeld: GDMB, 2008 (Schriftenreihe der GDMB Gesellschaft für Bergbau, Metallurgie, Rohstoff- und Umwelttechnik 114)
ISBN: 978-3-940276-10-0
10 Bl.
Fachtagung Sensorgestützte Sortierung <2008, Aachen>
Conference Paper
Fraunhofer WKI ()
thermography; spectroscopy; VIS; NIR; foreign body; separation

At present, foreign substances in recycled wood are detected mainly by using classical mechanical sieving and sifting techniques. Since a few years additional techniques like optical and ultrasound Separation techniques are introduced in the recycling process. These techniques detect a large quantity of foreign substances due to their different mass (mechanical sieving) or their different colours (optical methods) or hardness (ultrasound technique). Despite numerous different available methods a considerable portion of the foreign substances will still remain undetected.
In order to recognize and separate materials still undetected, a complementary detection method would be desirable removing the foreign bodies not registered by the a.m. methods from the production process. One solution to solve this problem can be an online infrared technique another promising way can be the use of new online imaging spectroscopic techniques working in the visible (VIS) or in the near infrared (NIR) wavelength region.