Wood Dive Angle Measurement Using Light Reflection Patterns
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Solution Overview
Problem
Existing methods for determining grain angles in wood using light reflection patterns, such as the T2 technology, face errors in dive angle calculation due to non-uniform sensor sensitivity and assumptions of circular tracheid cross-sections, leading to inconsistencies in measuring high dive angles and knot sizes, which affect lumber grading and twist prediction.
Innovation Solution
The method involves using peak and valley differences in light reflection patterns, combined with knowledge of wood surface microstructure, to improve dive angle estimation and locate pith and ring curvature, allowing for more accurate knot size estimation and twist prediction by positioning sensors at critical angles and employing algorithms like inverse parabola interpolation and staple models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the T2 technology uses a ring of sensors to measure light reflection patterns, then grain direction can be identified, but systematic errors occur in dive angle calculation when peaks are too close together or peak heights are significantly different
Solution Approach 1:
The patent changes the measurement parameters by using multiple view angles (not just a single 45-degree angle) and processing the difference in reflection intensities between these angles. This allows the system to maintain measurement precision even when peaks are close together or have significantly different heights, resolving the contradiction between precision and reliability in dive angle calculation.
Solution Approach 2:
The patent introduces an intermediary computational approach by calculating dive angle from the difference in reflection intensities at multiple view angles rather than directly from peak positions. This intermediary method (using intensity differences as a mediator) provides more reliable and consistent measurements under varying grain conditions.
2Device complexity
If the assumption of uniform side wall orientation distribution is made, then surface and dive angles can be calculated from peak positions, but errors are introduced when ring curvature or non-vertical grain is present
Solution Approach 1:
The patent changes from using a single view angle to using multiple view angles, and changes the calculation parameter from peak position to intensity difference. This resolves the contradiction by maintaining calculation simplicity while improving accuracy for curved surfaces and non-vertical grain through the use of intensity differences at multiple angles.
3Device complexity
If sensors are placed at critical locations to reduce the number of sensors, then device complexity is reduced, but measurement accuracy may be compromised
Solution Approach 1:
The patent applies local quality by placing sensors at specific critical view angles (multiple angles rather than a full ring) where the measurement information is most valuable. This selective placement at critical locations reduces device complexity while maintaining measurement accuracy through the use of intensity differences at these strategically chosen angles.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces systematic errors in dive angle calculations, enhances the accuracy of knot size estimation, and improves twist prediction by utilizing valley differences and peak height variations, enabling more precise grading and sorting of lumber.
Implementation Method 1
patterns of light scatter (both specular and diffuse) can be interpreted to infer geometric properties of the small fibers that constitute materials such as wood
Implementation Method 2
The reflected shape of a round spot of laser light will appear elongated when reflected off the surface of wood
Data Source
AI summary
Methods are provided for using light reflection patterns to determine various properties of fibrous materials, such as wood. More specifically, the present invention relates to methods for determining a dive angle for grain. Further, the present invention relates to methods for using information in T2 plots, combined with knowledge of the microstructure of a wood sample surface, to find pith location and/or ring curvature.