Performance assessment of a novel electrical conductivity-based instrument for stratified moisture content measurement in wood

Abstract Moisture content (MC) plays a crucial role in determining the mechanical and physical properties of wood, including strength, stiffness, and dimensional stability. Stratified MC measurement is particularly valuable for understanding the moisture distribution across different layers of wood, which is essential for optimizing wood processing and applications. However, existing stratified MC measurement methods are often time-consuming, costly, and complex, limiting their widespread use in industrial settings. This study proposes a novel, non-destructive method for stratified MC measurement based on the electrical conductivity of wood. By utilizing the relationship between electrical conductivity and moisture distribution, this method provides a rapid, accurate, and cost-effective alternative. Experimental comparisons with the slice methods and the single-sided nuclear magnetic resonance (NMR) validate the accuracy of the proposed method, with average errors controlled within ±1 %, and the measurement time limited to 10 s. The newly developed instrument is portable, efficient, and easy to operate, making it highly suitable for real-time applications in academic research and industrial settings. By addressing the limitations of existing methods, this technology significantly enhances measurement efficiency. Moreover, it improves resource utilization and reduces energy consumption, thereby promoting sustainable practices in the wood industry.

Authors

Institutions

Publication Details

Journal
Holzforschung
Published
2025-04-21
DOI
https://doi.org/10.1515/hf-2025-0002
Citations
1
Primary Topic
Wood Treatment and Properties
Type
article
Field-Weighted Citation Impact
1.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance assessment of a novel electrical conductivity-based instrument for stratified moisture content measurement in wood

Yupeng Wu, Rui Zhen Tan, Minghui Zhang, Wenjing Liu et al.
1 citations
Holzforschung
Wood Treatment and Properties
1.01
article

Performance assessment of a novel electrical conductivity-based instrument for stratified moisture content measurement in wood

Yupeng Wu, Rui Zhen Tan, Minghui Zhang, Wenjing Liu, Zhihong Zhao
article en
1 citations

Abstract

Abstract Moisture content (MC) plays a crucial role in determining the mechanical and physical properties of wood, including strength, stiffness, and dimensional stability. Stratified MC measurement is particularly valuable for understanding the moisture distribution across different layers of wood, which is essential for optimizing wood processing and applications. However, existing stratified MC measurement methods are often time-consuming, costly, and complex, limiting their widespread use in industrial settings. This study proposes a novel, non-destructive method for stratified MC measurement based on the electrical conductivity of wood. By utilizing the relationship between electrical conductivity and moisture distribution, this method provides a rapid, accurate, and cost-effective alternative. Experimental comparisons with the slice methods and the single-sided nuclear magnetic resonance (NMR) validate the accuracy of the proposed method, with average errors controlled within ±1 %, and the measurement time limited to 10 s. The newly developed instrument is portable, efficient, and easy to operate, making it highly suitable for real-time applications in academic research and industrial settings. By addressing the limitations of existing methods, this technology significantly enhances measurement efficiency. Moreover, it improves resource utilization and reduces energy consumption, thereby promoting sustainable practices in the wood industry.

HolzforschungVol. 79(6)
Inner Mongolia Agricultural University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 26%
Wood Treatment and Properties
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance assessment of a novel electrical conductivity-based instrument for stratified moisture content measurement in wood — Yupeng Wu, Rui Zhen Tan, et al. · Holzforschung (2025) | TGRS Research Map | TGRS