Web platform user interface

Trace processing

FQ began working quantitatively with resistance drilling using the IML PD-400 instrument (https://imlaustralia.com/product/iml-powerdrill/). The objective was to predict acoustic wave velocity (HM200: https://www.fibre-gen.com/hitman-hm220) that was typically used by New Zealand industry to assess log stiffness in radiata pine. Others have also pursued the relationship between Resi data and wood stiffness (Sharapov et al. 2019). However it became obvious that, if commercial application of the technology was going to be cost-effective, the processing of the individual traces produced by the IML PD series drills, needed to be simple, fast and robust, requiring minimal or no user involvement.

At FQ we set about developing and testing a web platform application that would do all trace processing and data extraction that a commercial user would require and more. The result has been that resistance drilling combined with our web platform services for wood property assessment has now become;

References

Downes, G. M., M. Lausberg, B. M. Potts, D. L. Pilbeam, M. Bird, and B. Bradshaw. 2018. “Application of the IML Resistograph to the Infield Assessment of Basic Density in Plantation Eucalypts.” Australian Forestry 81 (3): 177–85. https://doi.org/10.1080/00049158.2018.1500676.
Downes, Geoffrey M., Jonathan J. Harrington, David M. Drew, Marco Lausberg, Phillip Muyambo, Duncan Watt, and David J. Lee. 2022. “A Comparison of Radial Wood Property Variation on Pinus Radiata Between an IML PD-400 ‘Resi’ Instrument and Increment Cores Analysed by SilviScan.” Forests 13 (5): 751. https://doi.org/10.3390/f13050751.
Downes, G, J Harrington, M Lausberg, and D Lee. 2023. “Online Processing of Resi Traces for Commercial Inventory of Plantation Wood Quality.” Conference Paper.
Downes, G, and M Lausberg. 2016. “Evaluation of the RESI Software Tool for the Prediction of HM200 Within Pine Logs Sourced from Multiple Sites Across New Zealand and Australia.” Unpublished. https://doi.org/10.13140/RG.2.2.13695.38560.
Gendvilas, Vilius, Geoffrey M Downes, Marco Lausberg, Jonathan J Harrington, and David J Lee. 2024. “Predicting Wood Density Using Resistance Drilling: The Effect of Varying Feed Speed and RPM.” Journal Article. Forests 15 (4). https://doi.org/10.3390/f15040579.
Gendvilas, Vilius, Geoffrey M. Downes, Mark Neyland, Mark Hunt, Andrew Jacobs, and Julianne O’Reilly-Wapstra. 2020. “Friction Correction When Predicting Wood Basic Density Using Drilling Resistance.” Holzforschung 75 (6): 508–16. https://doi.org/10.1515/hf-2020-0156.
Gendvilas, Vilius, David J Lee, Dominic P Kain, Chandan Kumar, Geoffrey M Downes, Marco Lausberg, and Jonathan J Harrington. 2024. “Predicting Wood Density Using Resistance Drilling: The Effect of Instrument and Operator.” Forests 15 (1): 157. https://doi.org/10.3390/f15010157.
Sharapov, Evgenii, Christian Brischke, Holger Militz, and Elena Smirnova. 2019. “Prediction of Modulus of Elasticity in Static Bending and Density of Wood at Different Moisture Contents and Feed Rates by Drilling Resistance Measurements.” European Journal of Wood and Wood Products 77 (5): 833–42. https://doi.org/10.1007/s00107-019-01439-2.