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Nondestructive Evaluation of Wood-Based Materials and Timber Structures

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".

Deadline for manuscript submissions: closed (20 November 2022) | Viewed by 4114

Special Issue Editors


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Guest Editor
Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Uppsala, Sweden
Interests: wood products; wood technology; adhesives for wood composites; sustainable wood composites; recycling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical Wood Technology, Faculty of Forest Industry, University of Forestry, 1797 Sofia, Bulgaria
Interests: wood and wood-based composites; eco-friendly wood-based composites; lignocellulosic composites; wood technology; wood sciences; bio-based adhesives; advanced formaldehyde-based wood adhesives; formaldehyde emission; formaldehyde scavengers; recyclable materials; sustainability; bioeconomy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Wood Science, The University of British Columbia, Vancouver, BC, Canada
Interests: wood manufacturing; smart manufacturing; machining monitoring; automation and Industry 4.0

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Guest Editor

Special Issue Information

Dear Colleagues,

The growing interest in rapid, reliable, cost-effective, and accurate testing, characterization, and monitoring of wood and wood-based materials has put a strong emphasis on different nondestructive testing (NDT) and nondestructive evaluation (NDE) methods. NDE is aimed at identifying the physical and mechanical properties of a given material without altering its end-use capabilities and providing precise information pertaining to the properties, performance, or condition of the material in question. Today, a variety of NDT and NDE techniques including but not limited to ultrasound and acoustics, spectroscopy, vibration-based methods, machine vision systems, etc., are being used in different applications for testing the properties of wood-based materials, quality control (QC), structural health monitoring, and process health and condition monitoring.

This Special Issue on “Nondestructive Evaluation of Wood-Based Materials and Timber Structures” aims to collect high-quality original research and review articles on topics including (but not limited to) the latest findings in the general field of NDE applied to timber and wood-based materials, i.e., different nondestructive evaluation techniques for wood and timber monitoring, NDT and NDE for advanced wood manufacturing, nondestructive characterization of wood, NDE for damage and defect detection in wood, structural health monitoring of timber structures, NDT techniques for process health and condition monitoring, smart QC and grading of timber, signal and image processing techniques, and the use of artificial intelligence (AI) and data-driven techniques for wood and timber monitoring.

We strongly encourage contributions from researchers and experts from all related fields in the form of original research works or review articles.

Prof. Dr. Stergios Adamopoulos
Dr. Petar Antov
Dr. Vahid Nasir
Dr. Ľuboš Krišťák
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wood characterization
  • timber structures
  • structural health monitoring
  • nondestructive evaluation
  • nondestructive testing
  • condition monitoring
  • material characterization
  • wood defects

Published Papers (2 papers)

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Research

15 pages, 5229 KiB  
Article
Study on Attenuation Characteristics of Acoustic Emission Signals with Different Frequencies in Wood
by Feilong Mao, Saiyin Fang, Ming Li, Changlin Huang, Tingting Deng, Yue Zhao and Gezhou Qin
Sensors 2022, 22(16), 5991; https://doi.org/10.3390/s22165991 - 11 Aug 2022
Cited by 4 | Viewed by 1574
Abstract
To study the effect of frequency on the attenuation characteristics of acoustic emission signals in wood, in this paper, two types of hard wood and soft wood were studied separately, and the energy attenuation model of the propagation process of AE sources with [...] Read more.
To study the effect of frequency on the attenuation characteristics of acoustic emission signals in wood, in this paper, two types of hard wood and soft wood were studied separately, and the energy attenuation model of the propagation process of AE sources with different frequencies was established. First, using the piezoelectric inverse effect of the AE sensor, an arbitrary waveform generator was used to generate frequency-tunable pulses in the range of 1 kHz to 150 kHz as the AE source, where the AE source energy could be regulated by the output voltage level. Then, five AE sensors were placed at equal intervals of 100 mm on the surface of the specimen to collect AE signals, and the sampling frequency was set to 500 kHz. Finally, the energy value of AE signal of each sensor was calculated based on the AC principle, and the energy attenuation model was established by exponential fitting. The results showed that both the amplitude and energy of the AE signals of different frequencies showed negative exponential decay with the increase of propagation distance, and, at the same frequency, the change of AE source energy level had no significant effect on its attenuation rate. Compared with hard wood, the energy attenuation of the AE signal of soft wood was more sensitive to the change of frequency, and, at the same frequency, the attenuation rate of soft wood was smaller than that of hard wood. Full article
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20 pages, 7525 KiB  
Article
Non-Destructive Evaluation of the Cutting Surface of Hardwood Finger Joints
by Hannes Stolze, Michael Gurnik, Tim Koddenberg, Jonas Kröger, Robert Köhler, Wolfgang Viöl and Holger Militz
Sensors 2022, 22(10), 3855; https://doi.org/10.3390/s22103855 - 19 May 2022
Cited by 4 | Viewed by 1491
Abstract
In this study, the surface parameters wettability, roughness, and adhesive penetration, which are important for wood bonding, were investigated and evaluated utilizing non-destructive methods after different mechanical processing. For this purpose, beech and birch finger joints were prepared with different cutting combinations (three [...] Read more.
In this study, the surface parameters wettability, roughness, and adhesive penetration, which are important for wood bonding, were investigated and evaluated utilizing non-destructive methods after different mechanical processing. For this purpose, beech and birch finger joints were prepared with different cutting combinations (three cutters with different sharpness levels and two feed rates) in an industrial process. Effects and interactions on the surface parameters resulting from the different cutting combinations were evaluated using three Full Factorial Designs. The various cutting parameters had a predominantly significant influence on the surface parameters. The effects and identified interactions highlight the complexity of the cutting surface and the importance of wood bonding. In this respect, a new finding is that with sharper cutters, higher contact angles of the adhesives occur. The methods (contact angle measurement, laser scanning microscopy, and brightfield microscopy) used were well suited to make effects visible and quantifiable, which can be of interest for the quality control of the wood processing industry. The results can help to better understand and evaluate the design of wood surfaces via machining and the bonding of hardwoods. Possibly the results can contribute to further standardizing the production of load-bearing hardwood finger joints and making them more efficient. Full article
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