Advances in Wood Characterization and in Tree Sorting and Inspections: Insights from Acoustic Testing and Tomographic Imaging

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Wood Science and Forest Products".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 494

Special Issue Editors


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Guest Editor
Nondestructive Testing Laboratory of School of Agriculture Engineering, Universidade Estadual de Campinas (UNICAMP), Campinas CEP13083310, Brazil
Interests: nondestructive testing; wood characterization; wood classification; tree classification; tree inspections; wood structure inspections

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Guest Editor
Timber Construction Research Group, Universidad Politécnica de Madrid (GICM - UPM), Escuela Técnica Superior de Ingeniería de Montes, Forestal y del Medio Natural (ETSIMFMN), Madrid 28040, Spain
Interests: nondestructive testing of; wood characterization; wood structure inspections; tree biomechanics; physical and mechanical properties of wood and wood products; design, calculation, pathology and rehabilitation of timber structures

Special Issue Information

Dear Colleagues,

The study of wood and tree characterization has evolved significantly over the years, with innovations in nondestructive testing methods such as ultrasonic testing playing key roles. Historically, tree inspections relied only visual assessments; however, with advancements in technology, such as tomographic imaging, more accurate and efficient results in terms of the evaluation of tree health became possible. Finally, the prediction of knowledge regarding wood quality has also become possible thanks to advances in nondestructive methods applicable to standing trees.

The aim of this Special Issue is to explore the latest developments in acoustic testing and tomographic imaging techniques for tree sorting and inspection, as well as for wood characterization. These methods offer detailed insights into the internal structures of trees, allowing for the precise detection of defects. Ultrasonic testing uses acoustic waves to infer, for example, wood density and elasticity, while tomographic imaging creates detailed 3D images of a tree’s internal condition, enhancing tree management practices and timber quality assessments.

Cutting-edge research in these fields promises to revolutionize the forestry and timber industries by offering faster, more reliable ways to assess the structural integrity and suitability of trees for different purposes. These technologies not only improve operational efficiency but also contribute to sustainable forest management practices, ensuring that natural resources are used responsibly.

Prof. Dr. Raquel Gonçalves
Prof. Dr. Guillermo Íñiguez-González
Guest Editors

Manuscript Submission Information

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Keywords

  • nondestructive technologies
  • acoustic tests
  • acoustic tomography
  • inspection methods
  • characterization methods
  • classification methods

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Published Papers (1 paper)

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Research

16 pages, 7512 KiB  
Article
Optimisation of CO2 Laser Technological Parameters and Their Impact on the Surface Quality of Cut Wood
by Lukáš Adamčík, Richard Kminiak, Kristián Kyselica, Rastislav Igaz and Ivan Kubovský
Forests 2025, 16(5), 785; https://doi.org/10.3390/f16050785 - 7 May 2025
Viewed by 266
Abstract
This paper discusses cutting beech wood (Fagus sylvatica L.) using a CO2 laser and optimising its feed speed and laser power concerning the roughness of the cut surface and the kerf width. The roughness, defined by the parameters Ra, R [...] Read more.
This paper discusses cutting beech wood (Fagus sylvatica L.) using a CO2 laser and optimising its feed speed and laser power concerning the roughness of the cut surface and the kerf width. The roughness, defined by the parameters Ra, Rz, Rv, and Rp, and the kerf width changed with varying technological parameters of the CO2 laser—feed speed and laser power. The lowest roughness was achieved at 50% laser power and a 15 mm·s−1 feed speed, while the highest roughness was reached at 50% and 30 mm·s−1. The lowest kerf width was achieved at 50% laser power and a feed speed of 15 mm·s−1 on both the upper and lower sides and vice versa. The result of the experiment was the creation of second-degree polynomial regression models, from which the optimal values of the technological parameters of the CO2 laser for cutting wood were determined for surface roughness and kerf width. The achieved accuracy of the models was 98.01% for the kerf width on the upper side, 95.95% for the kerf width on the lower side, 82.71% for the Ra parameter and 85.44% for the Rz parameter. Full article
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