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HITMAN
Advanced Sonic Technology
for Log Scalers
and their Customers
Timber Measurements Society Meeting
October 17-18 L...
Business Results – Sonics enabled
• Measure Wood Quality before processing:
– In conjunction with scaling in mill yard for...
3
Portable tool for log scaling application
LG640 Automated tool also available for log scaling application
• Stiffness = density x (velocity)2
• Velocity is derived from resonant
frequency (2nd harmonic) and length
• Sensor/micro...
Customer values are high - Veneer
Douglas Fir trials - sorted the log infeed at a 13,000ft/sec threshold.
Increase Yield o...
• MSR vs Standard or better lumber price differential
US$15/m3
• Average log infeed velocity improvement of 0.2km/sec
will...
7
• Sonic measures provide valuable log quality
information for your customers
• Wood stiffness in logs is a key measure for...
For further information
peter.carter@fibre-gen.com
www.fibre-gen.com
Further detail for implementation
• Acoustic velocity generally increases with increasing age
• 0.06 Km/s increase on average per year
• Velocities do still...
Velocity variation Butt Log to Top Log
• Acoustic velocity varies from butt to top
• Highest velocity logs are in mid sect...
Velocity variation – Pith to Bark
Average stiffness of lumber cut from
some 60 trees. Note the low stiffness at
the base o...
Velocity variation with Temperature
• Acoustic velocity increases with lower temperature
• Rate of change defined best in ...
Velocity variation with Moisture Content
• Acoustic velocity varies with moisture content
• MOE = Green Density x Velocity...
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Hitman system for log scalers

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HITMAN
Advanced Sonic Technology for Log Scalers and their Customers
Timber Measurements Society Meeting
October 17-18 Longview,Washington, USA
Peter Carter – Chief Executive, Fibre-gen
Presented by Andy Dick – MD, Logjiztix

Published in: Technology
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Hitman system for log scalers

  1. 1. 1 HITMAN Advanced Sonic Technology for Log Scalers and their Customers Timber Measurements Society Meeting October 17-18 Longview,Washington, USA Peter Carter – Chief Executive, Fibre-gen Presented by Andy Dick – MD, Logjiztix
  2. 2. Business Results – Sonics enabled • Measure Wood Quality before processing: – In conjunction with scaling in mill yard for LVL and MSR • Forecast actual mill LVL or MSR lumber out- turn from log supply • Reduce waste and lower processing costs • Reliably fulfill sales orders • Improve profitability through process optimisation
  3. 3. 3 Portable tool for log scaling application LG640 Automated tool also available for log scaling application
  4. 4. • Stiffness = density x (velocity)2 • Velocity is derived from resonant frequency (2nd harmonic) and length • Sensor/microphone detects frequency from hammer blow • Green density is relatively constant HM200 & LG640 – how they work 3.3 length velocity = 2 x length / time stiffness densityx velocity≈ 2
  5. 5. Customer values are high - Veneer Douglas Fir trials - sorted the log infeed at a 13,000ft/sec threshold. Increase Yield of Veneer – 2 operational trial results: 1. 62% Yield of G1&G2 compared against 47% unsorted logs 2. 60% Yield of G1&G2 compared against 45% unsorted logs Lodgepole pine trial results • 0.1km/sec improvement in sonic velocity is worth US$16/m3 • US$3.8m for a 300,000 t mill (at US$250/m3 for G1 veneer) Measuring and managing stiffness will increase profit Scaling is a key opportunity to measure and add value
  6. 6. • MSR vs Standard or better lumber price differential US$15/m3 • Average log infeed velocity improvement of 0.2km/sec will increase MSR YIELD from the mill by 10% This equates to: • US$450,000 for a 300,000 m3 mill Measuring and managing stiffness will increase profit Scaling is a key opportunity to measure and add value Customer values are high - MSR
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  8. 8. • Sonic measures provide valuable log quality information for your customers • Wood stiffness in logs is a key measure for LVL veneer and MSR lumber manufacturers • Tools are available to quickly and easily measure stiffness at time of scaling • Stiffness information measured at this time is key for value optimisation from subsequent processing Conclusions – Log Scaling
  9. 9. For further information peter.carter@fibre-gen.com www.fibre-gen.com
  10. 10. Further detail for implementation
  11. 11. • Acoustic velocity generally increases with increasing age • 0.06 Km/s increase on average per year • Velocities do still vary widely within an single Age class • Strategy - harvest highest Velocity rather than oldest age Velocity variation with Age Log age vs. average acoustic velocity R 2 = 0.66 2.50 2.60 2.70 2.80 2.90 3.00 3.10 3.20 3.30 3.40 3.50 18 20 22 24 26 28 30 32 34 Log age (years) Stand Linear (Stand) VelocityvsStand Age 2.80 2.90 3.00 3.10 3.20 3.30 3.40 3.50 3.60 3.70 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 Age (years) Velocity(km/sec) Mean Velocity (50% oldest age) = 3.43 Mean Velocity (50% highest V) = 3.37 Benefit = 0.06km/sec
  12. 12. Velocity variation Butt Log to Top Log • Acoustic velocity varies from butt to top • Highest velocity logs are in mid section of stem – log 2 & 3 Radiata Pine - Log velocity within stem 2.50 3.00 3.50 4.00 0 5 10 15 20 25 30 Distance upstem(m) Velocity(km/sec) Average 3.2 km/ sec Average +2 x SD Average -2 x SD Stand Mean 3.2
  13. 13. Velocity variation – Pith to Bark Average stiffness of lumber cut from some 60 trees. Note the low stiffness at the base of the tree, in the butt logs. Why not cut a short, 2.5 m butt log? 1st log 2nd log 3rd log Ping Xu, 2002 Source: J Walker, University of Canterbury
  14. 14. Velocity variation with Temperature • Acoustic velocity increases with lower temperature • Rate of change defined best in Swedish log study • Moisture content changes may compensate on logs, but not in trees Temperature Effect on Acoustic Velocity of Green Board 0 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000 3200 3400 3600 3800 4000 -20 -15 -10 -5 0 5 10 15 20 Board Temperature (C) AcousticWaveVelocity(m/s) Stack 6 (50 boards) Stack 2 (50 boards) V = 2365 - 17.69T (T ? 0 °C) V = 2365 - 41.42T (T ? 0 °C) Density(MC) adjustedacousticspeed 2 2.5 3 3.5 4 4.5 5 -25 -20 -15 -10 -5 0 5 10 15 20 25 Series1 Series2 Series3 Series4 Series5 Series6 Series7 Series8 Series9 Series10 Series11 Series12 Source: L Bjorklund, VMR, SDCSource: P Harris, IRLSource: X Wang, University of Minnesota
  15. 15. Velocity variation with Moisture Content • Acoustic velocity varies with moisture content • MOE = Green Density x Velocity2 • Therefore green density decrease is proportional to increase in V2 • Potential application – MC of Beetle killed wood

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