Abstract
This study evaluated the effects of planning methods—pushing and pulling—on the surface topographic characteristics of Cedrela sinensis and Korean Paulownia wood boards according to ISO 25178 standards. Surface roughness was assessed using a stylus profilometer (Mitutoyo SJ301) and a 3D Optical Profilometer (VR-6000, Keyence). The parameters measured included arithmetical mean height (Ra and Sa), root mean square roughness (Rq), average maximum height of the surface (Rz and Sz), texture aspect ratio (Str), the spatial parameter of the surface (Spc), and developed interfacial area ratio (Sdr). These parameters collectively provide a comprehensive description of a surface’s texture, aiding in assessing its roughness, directionality, and functional characteristics. On average, Cedrela sinensis push-finished surfaces showed Ra of 16.78 μm, while pull-finished surfaces showed Ra of 11.22 μm. For Paulownia, push-finished surfaces had Ra of 6.04 μm, while pull-finished surfaces had Ra of 5.83 μm. Statistical t-test results showed no significant differences between push and pull planning methods (p > 0.05). The surface roughness analysis reveals that Cedrela sinensis surfaces exhibit higher roughness, more significant height variations, and more complex textures than Paulownia. These findings are valuable for the woodworking industry, offering insights into optimizing planning methods for specific wood species and applications.
| Original language | English |
|---|---|
| Pages (from-to) | 2431-2437 |
| Number of pages | 7 |
| Journal | International Journal of Advanced Manufacturing Technology |
| Volume | 134 |
| Issue number | 5-6 |
| DOIs | |
| State | Published - 2024.09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
Keywords
- 3D optical profilometry
- Cedrela sinensis
- Korean Paulownia
- Stylus profilometer
- Surface roughness
- Wood planning methods
Quacquarelli Symonds(QS) Subject Topics
- Engineering - Mechanical
- Computer Science & Information Systems
- Data Science
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