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Editorial

Wood Quality and Mechanical Properties

by
André Luis Christoforo
Department of Civil Engineering, Federal University of São Carlos, São Carlos 13565-905, Brazil
Forests 2024, 15(11), 1874; https://doi.org/10.3390/f15111874
Submission received: 21 October 2024 / Accepted: 23 October 2024 / Published: 25 October 2024
(This article belongs to the Special Issue Wood Quality and Mechanical Properties)
The recent Special Issue (SI) of Forests on “Wood Quality and Mechanical Properties” offers an in-depth exploration of the complex relationship between the quality of wood and its mechanical properties, in addition to describing innovations in the field. This SI unites a variety of scholarly investigations that enhance our comprehension of how both inherent and external factors impact the characteristics of wood, bearing significance for the management of natural forests and the development of engineered wood products.
In this SI, 17 high-quality peer-reviewed manuscripts representing diverse fields of wood engineering and science were published, with a particular emphasis on the quality and mechanical attributes of wood. A concise review of the principal discoveries of each article is provided below:
  • “Eucalyptus-Based Glued Laminated Timber: Evaluation and Prediction of Its Properties by Non-Destructive Techniques” [1]: This research assesses the characteristics of glued laminated timber derived from Eucalyptus, employing non-destructive methodologies for precise property forecasting and thereby underscoring its applicability in structural contexts.
  • “Strength Grading of Full-Scale Chinese Fast-Growing Poplar Wood for Structural Building Applications” [2]: The authors introduce a thorough strength-grading framework for fast-growing poplar wood sourced from China, elucidating its appropriateness for structural applications with rigorous mechanical evaluations.
  • “Radial Variation and Early Prediction of Wood Properties in Pinus elliottii Engelm. Plantation” [3]: This investigation delves into the radial discrepancies in the wood characteristics of Pinus elliottii, offering preliminary predictive models that facilitate the optimization of harvesting methodologies.
  • “Bamboo Structure and Its Impact on Mechanical Properties: A Case Study of Bambusa arundinaceae” [4]: This manuscript examines the correlation between the structural and mechanical attributes of Bambusa arundinaceae, emphasizing bamboo’s viability as a sustainable construction material.
  • “Prediction of Physical and Mechanical Properties of Heat-Treated Wood Based on the Improved Beluga Whale Optimisation Back Propagation (IBWO-BP) Neural Network” [5]: This investigation utilizes an advanced neural network framework to anticipate the physical and mechanical attributes of heat-treated wood, thereby augmenting the efficacy of material selection protocols.
  • “The Flexural Strength of Three Bamboo Species from Brazil: A Comparative Study of Internal and External Lamina Surfaces Using Static and Dynamic Bending Properties” [6]: The authors conducted a comparative analysis of the flexural strength of three Brazilian bamboo species, concentrating on the distinctions between internal and external lamina surfaces and contributing to enhanced material utilization.
  • “Predicting Wood Density Using Resistance Drilling: The Effect of Varying Feed Speed and RPM” [7]: This study explores the influence of diverse drilling parameters on the precision of wood density predictions, offering insights to refine evaluation methodologies.
  • “Predicting Wood Density Using Resistance Drilling: The Effect of Instrument and Operator” [8]: Building on the preceding investigation, this paper examines how variations in tools and operators affect wood density measurements, stressing the necessity of standardized methodologies.
  • “Maximizing the Use of Out-of-Grade Hybrid Pine in Engineered Wood Products: Bond Performance, the Effect of Resin Streaking, Knots, and Pith” [9]: This study analyzes the feasibility of utilizing out-of-grade hybrid pine in engineered wood products, investigating elements such as bond performance and imperfections to optimize material applications.
  • “Microwave Treatments and Their Effects on Selected Properties of Portuguese Pinus pinaster Aiton. and Eucalyptus globulus Labill. Wood” [10]: In this study, the authors assess the efficacy of microwave treatments on wood characteristics, revealing enhancements in impregnability and certain mechanical properties across both species analyzed.
  • “The Mechanical Strength Properties, Treatability Retention and Hazard Classification of Treated Small-Clear Fast-Growing Acacia mangium Superbulk at Different Age Groups” [11]: This study evaluates the mechanical strength and treatability characteristics of different age cohorts of Acacia mangium, providing critical insights for its classification and application within construction contexts.
  • “Mechanical Efficiency and Quality Control Preliminary Analysis of Incompletely Bonded Wood-Based Sandwich Panels” [12]: This investigation scrutinizes the mechanical efficiency of incompletely bonded sandwich panels, emphasizing the ramifications for quality control in the manufacturing sector of wood-based products.
  • “Effect of Alternate Drying Techniques on Cross-Laminated Timber after Exposure to Free-Water Wetting” [13]: This manuscript explores the effects of various drying techniques on the efficacy of cross-laminated timber subsequent to moisture exposure, offering recommendations for effective moisture management strategies.
  • “Characterization of Anatomical and Non-Anatomical Properties for the Identification of Six Commercial Wood Species from Vietnamese Plantation Forests” [14]: In this study, the authors provide an extensive characterization of distinct wood species that is grounded in their anatomical attributes, thus facilitating their enhanced identification and selection for particular applications.
  • “Mechanical Properties of Three Bamboo Species: Effect of External Climatic Conditions and Fungal Infestation in Laboratory Conditions” [15]: This study investigates the influence of climatic variables and fungal infestations on the mechanical properties of bamboo, contributing to a deeper understanding of its durability and performance metrics.
  • “Evaluation of Yield Improvements in Machine vs. Visual Strength Grading for Softwood Species” [16]: This study contrasts machine-based and visual strength grading techniques, uncovering considerable yield enhancements associated with machine grading and thereby improving efficiency in the wood processing industry.
  • “Balsam Fir (Abies balsamea (L.) Mill.) Wood Quality after Defoliation by Spruce Budworm (Choristoneura fumiferana Clem.) in the Boreal Forest of Quebec, Canada” [17]: This manuscript evaluates the consequences of spruce budworm-induced defoliation on the wood quality of balsam fir, underscoring ecological implications and management strategies in affected regions.
In conclusion, the research presented in this SI not only enriches scholarly dialog regarding the quality and mechanical properties of wood, but also functions as an essential resource for professionals in the domain. By consolidating existing knowledge and delineating prospective research trajectories, this Special Issue makes a notable contribution to the ongoing conversation about the sustainable utilization of wood in an era of increasing resource scarcity.
We express our sincere appreciation to all of the authors and reviewers whose commitment and proficiency have significantly influenced this volume, enhancing our collective insight into wood science and its practical applications.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Oliveira, R.F.; Segundinho, P.G.d.A.; da Silva, J.G.M.; Gonçalves, F.G.; Lopes, D.J.V.; Silva, J.P.M.; Lopes, N.F.; Mastela, L.d.C.; Paes, J.B.; de Souza, C.G.F.; et al. Eucalyptus-Based Glued Laminated Timber: Evaluation and Prediction of Its Properties by Non-Destructive Techniques. Forests 2024, 15, 1658. [Google Scholar] [CrossRef]
  2. Qian, J.; Yue, K.; Li, X.; Pu, Y.; Chen, K.; Wu, P.; Zhang, Z. Strength Grading of Full-Scale Chinese Fast-Growing Poplar Wood for Structural Building Applications. Forests 2024, 15, 1602. [Google Scholar] [CrossRef]
  3. Leng, C.; Wang, J.; Dong, L.; Yi, M.; Luo, H.; Zhang, L.; Chen, T.; Xie, W.; Xie, H.; Lai, M. Radial Variation and Early Prediction of Wood Properties in Pinus elliottii Engelm. Plantation. Forests 2024, 15, 870. [Google Scholar] [CrossRef]
  4. Zhang, K.; Yu, L.; Dai, F.; Chen, Y.; Jiang, Z.; Wang, Y.; Tian, G. Bamboo Structure and Its Impact on Mechanical Properties: A Case Study of Bambusa arundinaceae. Forests 2024, 15, 762. [Google Scholar] [CrossRef]
  5. Wang, Q.; Wang, W.; He, Y.; Li, M. Prediction of Physical and Mechanical Properties of Heat-Treated Wood Based on the Improved Beluga Whale Optimisation Back Propagation (IBWO-BP) Neural Network. Forests 2024, 15, 687. [Google Scholar] [CrossRef]
  6. Scharfenberg, H.R.; Anhê, A.C.B.M.; De Araujo, V.A.; Gava, M.; Mascarenhas, F.J.R.; Morales, E.A.M.; Christoforo, A.L.; Shimano, M.M.; Cortez-Barbosa, J. The Flexural Strength of Three Bamboo Species from Brazil: A Comparative Study of Internal and External Lamina Surfaces Using Static and Dynamic Bending Properties. Forests 2024, 15, 580. [Google Scholar] [CrossRef]
  7. Gendvilas, V.; Downes, G.M.; Lausberg, M.; Harrington, J.J.; Lee, D.J. Predicting Wood Density Using Resistance Drilling: The Effect of Varying Feed Speed and RPM. Forests 2024, 15, 579. [Google Scholar] [CrossRef]
  8. Gendvilas, V.; Lee, D.J.; Kain, D.P.; Kumar, C.; Downes, G.M.; Lausberg, M.; Harrington, J.J. Predicting Wood Density Using Resistance Drilling: The Effect of Instrument and Operator. Forests 2024, 15, 157. [Google Scholar] [CrossRef]
  9. Cherry, R.; Karunasena, W.; Manalo, A. Maximizing the Use of Out-of-Grade Hybrid Pine in Engineered Wood Products: Bond Performance, the Effect of Resin Streaking, Knots, and Pith. Forests 2023, 14, 1916. [Google Scholar] [CrossRef]
  10. Mascarenhas, F.J.R.; Dias, A.M.P.G.; Christoforo, A.L.; Simões, R.M.d.S.; Cunha, A.E.P. Microwave Treatments and Their Effects on Selected Properties of Portuguese Pinus pinaster Aiton. and Eucalyptus globulus Labill. Wood. Forests 2023, 14, 1671. [Google Scholar] [CrossRef]
  11. Yahya, N.S.; Ismaili, G.; Kalu, M.; Wasli, M.E.; Openg, I.; Jaimudin, N.A.; Hashim, M.Z.; Rizalman, A.N.; Mohammad, H.; Abdul Rahim, K.K. The Mechanical Strength Properties, Treatability Retention and Hazard Classification of Treated Small-Clear Fast-Growing Acacia mangium Superbulk at Different Age Groups. Forests 2023, 14, 1529. [Google Scholar] [CrossRef]
  12. Luengo, E.; Arriaga, F.; Bobadilla, I.; Hermoso, E. Mechanical Efficiency and Quality Control Preliminary Analysis of Incompletely Bonded Wood-Based Sandwich Panels. Forests 2023, 14, 1074. [Google Scholar] [CrossRef]
  13. Shirmohammadi, M.; Faircloth, A. Effect of Alternate Drying Techniques on Cross-Laminated Timber after Exposure to Free-Water Wetting. Forests 2023, 14, 1007. [Google Scholar] [CrossRef]
  14. Savero, A.M.; Kim, J.H.; Purusatama, B.D.; Prasetia, D.; Park, S.H.; Van Duong, D.; Kim, N.H. Characterization of Anatomical and Non-Anatomical Properties for the Identification of Six Commercial Wood Species from Vietnamese Plantation Forests. Forests 2023, 14, 496. [Google Scholar] [CrossRef]
  15. Elejoste, A.; Osa, J.L.; Arevalillo-Roman, A.; Eceiza, A.; Abascal, J.M.; Rico-Martinez, J.M.; Butron, A.; Peña-Rodriguez, C. Mechanical Properties of Three Bamboo Species: Effect of External Climatic Conditions and Fungal Infestation in Laboratory Conditions. Forests 2022, 13, 2084. [Google Scholar] [CrossRef]
  16. Moltini, G.; Íñiguez-González, G.; Cabrera, G.; Baño, V. Evaluation of Yield Improvements in Machine vs. Visual Strength Grading for Softwood Species. Forests 2022, 13, 2021. [Google Scholar] [CrossRef]
  17. Lemay, A.; Barrette, J.; Krause, C. Balsam Fir (Abies balsamea (L.) Mill.) Wood Quality after Defoliation by Spruce Budworm (Choristoneura fumiferana Clem.) in the Boreal Forest of Quebec, Canada. Forests 2022, 13, 1926. [Google Scholar] [CrossRef]
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Christoforo, A.L. Wood Quality and Mechanical Properties. Forests 2024, 15, 1874. https://doi.org/10.3390/f15111874

AMA Style

Christoforo AL. Wood Quality and Mechanical Properties. Forests. 2024; 15(11):1874. https://doi.org/10.3390/f15111874

Chicago/Turabian Style

Christoforo, André Luis. 2024. "Wood Quality and Mechanical Properties" Forests 15, no. 11: 1874. https://doi.org/10.3390/f15111874

APA Style

Christoforo, A. L. (2024). Wood Quality and Mechanical Properties. Forests, 15(11), 1874. https://doi.org/10.3390/f15111874

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