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Abstract
Previous research demonstrated that combining scratch testing with image-based techniques is a powerful approach for investigating scratch-induced damage mechanisms in untreated and PEG-impregnated wood. However, this methodology has not yet been applied to wood components of modular houses susceptible to surface scratches during handling and transportation under varying relative humidity (RH), where it could support surface quality inspection and end-user satisfaction. In the present study, sawn timber, laminated veneer lumber (LVL), and cladding-board components used in modular houses were subjected to scratch testing and analysed by X-ray computed microtomography (XµCT) to assess scratch resistance, with a focus on the effects of wood’s structural features and RH. The results showed that the wood structure strongly influenced scratching performance, and the components differed in scratch resistance and crack generation. Sawn timber and cladding-board components had higher recovery after scratching and higher scratch resistance based on scratch groove depth, with residual depths ranging from 73 µm to 300 µm. LVL exhibited lower recovery and less crack formation after scratching under varying RH, consistent with the greater dimensional stability provided by its laminated structure. The findings demonstrate the suitability of the proposed approach for scratch assessment in wood-based materials under changing environmental exposure.
| Original language | English |
|---|---|
| Journal | Wood Material Science and Engineering |
| DOIs | |
| Publication status | Accepted/In press - 2026 |
| MoE publication type | A1 Journal article-refereed |
Funding
The scratch tests carried out and X-ray micro tomography used for analysis received funding from the project 5G-TIMBER, funded by the European Union (Grant Agreement 101058505). The AI-TranspWood project, HORIZON-CL4-2023-RESILIENCE-01-23 (Grant Agreement 101138191), is also acknowledged. This project is co-funded by the European Union.
Keywords
- Scratch tests, X-ray microtomography, wood, surface failure, plastic deformation
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AI-TranspWood: AI-driven multiscale methodology to develop Transparent Wood as sustainable functional material
Fortino, S. (PI), Kolari, K. (Manager) & Khakalo, A. (Participant)
1/01/24 → 31/12/26
Project: EU project
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5G-TIMBER: Secure 5G-Enabled Twin Transition for Europe's TIMBER Industry Sector
Fortino, S. (Manager), Hradil, P. (Participant), Mäkipää, M. (Participant), Halme, J. (Participant), Saarela, O. (Participant) & Salokangas, R. (Participant)
1/06/22 → 31/05/25
Project: EU project
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