3D laser scanner: A new method for estimating the dimensions of wood pulp chips

Nordic Pulp and Paper Research Journal

Volumn 21, Issue 3, 2006, Pages 342-348

  López, Marcos ^a   Vilán, José A ^a   Casqueiro, C ^a   Matias J M ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

3D laser scanner; Chips; Estimation; Laser triangulation; Point cloud; Pulp; Quality

Indexed keywords

ESTIMATION; PULP; QUALITY CONTROL;

3D LASER SCANNERS; LASER TRIANGULATION; POINT CLOUD; STATISTICAL DISTRIBUTIONS;

WOOD PRODUCTS;

CHIP DIMENSIONS; CHIPS; ESTIMATION; KRAFT PULPING; QUALITY CONTROL; SYSTEMS; WOOD PRODUCTS;

EID: 33750325159     PISSN: 02832631     EISSN: None     Source Type: Journal    
DOI: 10.3183/npprj-2006-21-03-p342-348     Document Type: Article

References (18)

1. Bergman, T. (1998): On-line chip analysis: New technology for an improved pulping process, Pulp Paper Can, 99:12 (1998), 150-151.
2. Bjurulf, A. (2005): Dimensional consistency of wood chips over time, Nord. Pulp Paper Res. J. Vol. 20; No. 1/2005, 43-47.
3. Broderick, G., Cacchione E. and Héroux Y. (1998): Importance of distribution statistics in the characterization of chip quality, Tappi J. Vol. 81; No. 2 February 1998, 131-142.
4. Ding, F., Benaoudia, M., Bédard, P., Lanouette, R., Lejeune, C., and Gagné, P. (2005): Wood chip physical quality definition and measurement, Pulp Paper Can. 106:2 (2005), 27-32.
5. EN ISO 4287:2000. (2000): Geometrical product specification (GPS). Surface texture. Profile method. Terms, definitions andsurface texture parameters.
6. Jimenez, G., Gustafson, R.R. and McKean, W.T. (1989): Modelling incomplete penetration of kraft pulping liquor, J. Pulp Paper Sci. Vol. 15; No.3 May 1989, 110-115.
7. Kokko, P. (2003): Optimizing the chip quality for cooking through chipping & screening processes, 2003 TAPPI Fall Technical Conference: Engineering, Pulping and PCE and I, Oct 26-30 2003, Chicago, IL, United States, 39-40.
8. Li, L., Schemenauer, N., Peng, X., Zeng, Y. and Gu, P. (2002): A reverse engineering system for rapid manufacturing of complex objects, Robotics and Computer-Integrated Manufacturing Vol. 18; No. 1 Feb. 2002, 53-67.
9. Page, D., Koschan, A., Voisin, S., Ali, N. and Abidi, M. (2005): 3D CAD model generation of mechanical parts using coded-pattern projection and laser triangulation systems, Assembly Automation Vol. 25; No. 3 2005, 230-238.
10. Page, D., Koschan, A., Yiyong Sun and Abidi, M. (2003): Laser-based imaging for reverse engineering, Sensor Review Vol. 23; No. 3 2003, 223-229.
11. Parker, D. J. (1985): Impact of improved chip quality in a kraft mill, 1985 Pulping Conference, TAPPI Proceedings. Hollywood, FL, USA, 499-502.
12. Salvi, J., Armangue, X. and Batlle, J. (2002): A comparative review of camera calibrating methods with accuracy evaluation, Pattern Recognition Vol. 35; No. 7 July 2002, 1617-35.
13. Salvi, J., Pages, J. and Batlle, J. (2004): Pattern codification strategies in structured light systems, Pattern Recognition Vol. 37; No. 4 April 2004, 827-49.
14. SCAN-test Standard SCAN-CM 41:94. (1994): Wood chips for pulp production - sampling, Scandinavian Pulp, Paper and Board Testing Committee, Stockholm, Sweden.
15. SCAN-test Standard SCAN-CM 47:92. (1992): Wood chips for pulp production - thickness and thickness distribution, Scandinavian Pulp, Paper and Board Testing Committee, Stockholm, Sweden.
16. SCAN-test Standard SCAN-CM 48:01. (2001): Wood chips for pulp production - length and length distribution, Scandinavian Pulp, Paper and Board Testing Committee, Stockholm, Sweden.
17. Smith, D. (2004): Chip thickness screening and chip quality in the pulp mill, Paper Industry Vol. 21; No. 4 August 2004, 7-14.
18. Twaddle, A. (2003): Impact of chip thickness distribution on chip packing density, 2003 TAPPI Fall Technical Conference: Engineering, Pulping and PCE and I, Oct 26-30 2003, Chicago, IL, United States, 33-37.