Log sawing position optimization using computed tomography scanning

References

• Alkan, S., Zhang, Y. and Lam, F. (2007) Moisture distribution changes and wetwood behavior in subalpine fir wood during drying using high X-ray energy industrial CT scanner. Drying Technology, 25, 483–488.
   Web of Science ®Google Scholar
• An, Y. and Schajer, G. (2014) Feature-specific CT measurements for log scanning: Theory and application. Experimental Mechanics.
   Google Scholar
• Anonymous. (1997) Nordic Timber: Grading Rules for Pine (Pinus sylvestris) and Spruce (Picea abies) Sawn Timber: Commercial Grading Based on Evaluation of the Four Sides of Sawn Timber (Umeå: Föreningen svenska sågverksmän (FSS)).
   Google Scholar
• Berggren, G., Grundberg, S., Grönlund, A. and Oja, J. (2000) Improved Spruce Timber Utilization (STUD). European Shared Cost Research Project within FAIR (DGXII/E2), Contract No. FAIR-CT96-1915. Final Report Sub-Task A 1.2, Database and Non-Destructive “Glass-Log” Measurements. Technical Report (Skellefteå: AB Trätek and Luleå University of Technology).
   Google Scholar
• Berglund, A., Broman, O., Grönlund, A. and Fredriksson, M. (2013) Improved log rotation using information from a computed tomography scanner. Computers and Electronics in Agriculture, 90, 152–158. 10.1016/j.compag.2012.09.012
   Web of Science ®Google Scholar
• Bhandarkar, S. M., Faust, T. D. and Tang, M. (1999) Catalog: A system for detection and rendering of internal log defects using computer tomography. Machine Vision and Applications, 11, 171–190. 10.1007/s001380050100
   Web of Science ®Google Scholar
• Brüchert, F., Baumgartner, F. and Sauter, U. (2008) Ring width detection for industrial purposes-use of CT and discrete scanning technology on fresh roundwood. Proceedings of the COST E53 Conference, Delft, Netherlands.
   Google Scholar
• Chiorescu, S. and Grönlund, A. (1999) Validation of a CT-based simulator against a sawmill yield. Forest Product Journal, 50, 69–76.
   Web of Science ®Google Scholar
• Fredriksson, M., Broman, O., Persson, F., Axelsson, A. and Ah Shenga, P. (2014) Rotational position of curved saw logs and warp of the sawn timber. Wood Material Science and Engineering, 9, 31–39. 10.1080/17480272.2013.853691
   Google Scholar
• Giudiceandrea, F., Ursella, E. and Vicario, E. (2011) A high speed CT scanner for the sawmill industry. Proceedings of the 17th International Non Destructive Testing and Evaluation of Wood Symposium, 14–16 September 2011, University of West Hungary, Sopron, Hungary.
   Google Scholar
• Grönlund, A., Björklund, L., Grundberg, S. and Berggren, G. (1995) Manual för furustambank [Manual for Pine Stem Bank] Technical Report 1995:19 (Luleå: Luleå University of Technology). In Swedish.
   Google Scholar
• Grundberg, S. (1999) An X-ray LogScanner: A Tool for Control of the Sawmill Process. PhD thesis (Luleå: Luleå University of Technology).
   Google Scholar
• Hou, Z. Q., Wei, Q. and Zhang, S. Y. (2009) Predicting density of green logs using the computed tomography technique. Forest Products Journal, 59, 53–57.
   Web of Science ®Google Scholar
• Law, A. M. (2007) Simulation Modeling and Analysis (New York, NY: McGraw-Hill).
   Google Scholar
• Longuetaud, F., Mothe, F., Kerautret, B., Krähenbühl, A., Hory, L., Leban, J. M. and Debled-Rennesson, I. (2012) Automatic knot detection and measurements from X-ray CT images of wood: A review and validation of an improved algorithm on softwood samples. Computers and Electronics in Agriculture, 85, 77–89. 10.1016/j.compag.2012.03.013
   Web of Science ®Google Scholar
• Lundahl, C. G. and Grönlund, A. (2010) Increased yield in sawmills by applying alternate rotation and lateral positioning. Forest Product Journal, 60, 331–338. 10.13073/0015-7473-60.4.331
   Google Scholar
• Magnusson Seger, M. and Danielsson, P. E. (2003) Scanning of logs with linear cone-beam tomography. Computers and Electronics in Agriculture, 41, 45–62. 10.1016/S0168-1699(03)00041-3
   Web of Science ®Google Scholar
• Maness, T. C. and Donald, W. S. (1994) The effect of log rotation on value recovery in chip and saw sawmills. Wood and Fiber Science, 26, 546–555.
   Web of Science ®Google Scholar
• Moberg, L. (2000) Models of internal knot diameter for Pinus sylvestris. Scandinavian Journal of Forest Research, 15, 177–187. 10.1080/028275800750014984
   Web of Science ®Google Scholar
• Moberg, L. and Nordmark, U. (2006) Predicting lumber volume and grade recovery for scots pine stems using tree models and sawmill conversion simulation. Forest Product Journal, 56, 68–74.
   Web of Science ®Google Scholar
• Nordmark, U. (2005) Value Recovery and Production Control in the Forestry Wood Chain using Simulation Technique. PhD thesis (Luleå: Luleå University of Technology).
   Google Scholar
• Oja, J., Grundberg, S. and Grönlund, A. (1998) Measuring the outer shape of Pinus sylvestris saw logs with an X-ray LogScanner. Scandinavian Journal of Forest Research, 13, 340–347. 10.1080/02827589809382993
   Web of Science ®Google Scholar
• Pietikäinen, M. (1996) Detection of Knots in Logs using X-ray Imaging. PhD thesis (Espoo: VTT Technical Research Centre of Finland).
   Google Scholar
• Rinnhofer, A., Petutschnigg, A. and Andreu, J. P. (2003) Internal log scanning for optimizing breakdown. Computers and Electronics in Agriculture, 41, 7–21. 10.1016/S0168-1699(03)00039-5
   Web of Science ®Google Scholar
• Todoroki, C. L. and Rönnqvist, E. (1999) Combined primary and secondary log breakdown optimisation. The Journal of the Operational Research Society, 50, 219–229.
   Web of Science ®Google Scholar
• Vuorilehto, J. and Tulokas, T. (2007) On log rotation precision. Forest Products Journal, 57, 91–96.
   Web of Science ®Google Scholar
• Wei, Q., Leblon, B. and La Rocque, A. (2011) On the use of X-ray computed tomography for determining wood properties: A review. Canadian Journal of Forest Research, 41, 2120–2140. 10.1139/x11-111
   Web of Science ®Google Scholar