Deep Scanning of Timber Reduces Waste with Precise Predictions
In a breakthrough innovation, wood scientist Johannes Huber has developed a method to deeply scan timber using computed tomography (CT) scanning technology. This technique allows for precise predictions of the mechanical properties of wood, enabling sawmills to locate high-quality material within each tree and reduce waste.
Huber, a researcher at Luleå University of Technology in Skellefteå, Sweden, has been working with CT scanning since 2018. He uses an industrial CT machine optimized for logs, which is capable of detecting even the smallest imperfections in wood. "This technology allows us to predict the features of timber beyond just the knots," Huber explained.
The process involves strapping a log into a ring structure within the scanner, where it is exposed to X-rays from multiple angles. The resulting images provide detailed information about the internal structure and quality of the wood. This data can be used to identify regions with high-quality material, reducing waste and increasing efficiency in sawmills.
Huber's work builds on existing practices in the industry, where sawmills use CT scanners to detect knot patterns and avoid low-quality areas. However, his goal is to take this technology further by developing algorithms that can predict the mechanical properties of wood based on its internal structure. "No two logs are alike," Huber noted. "With this technology, we can unlock the full potential of each tree."
The use of CT scanning in sawmills has significant implications for the forestry industry. By reducing waste and increasing efficiency, sawmills can save money and reduce their environmental impact. Additionally, the precise predictions provided by CT scanning can help to optimize wood processing and improve product quality.
Huber's research has already shown promising results, with his team achieving a 90% accuracy rate in predicting the mechanical properties of wood using CT scanning. However, further development is needed before this technology can be widely adopted in sawmills.
As Huber continues to refine his methods, he sees great potential for CT scanning in other industries, such as furniture and construction. "This technology has far-reaching applications," he said. "We're just beginning to scratch the surface of what's possible."
Background: The forestry industry is a significant contributor to global greenhouse gas emissions, with sawmills accounting for a substantial portion of this impact. By reducing waste and increasing efficiency, CT scanning can help to mitigate these effects.
Current Status: Huber's research is ongoing, with his team working to develop algorithms that can accurately predict the mechanical properties of wood based on its internal structure. The next step will be to test this technology in real-world sawmill settings.
Next Developments: As Huber continues to refine his methods, he plans to collaborate with industry partners to pilot-test CT scanning in sawmills. This will help to demonstrate the potential benefits and challenges of implementing this technology on a larger scale.
*Reporting by Nature.*
