Adaptive Lumber Sorting for Uniform CLT Board Distribution
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Solution Overview
Problem
Existing lumber management systems struggle to uniformly distribute lumber characteristics, leading to potential bondline degradation and specification failures in cross-laminated timber (CLT) due to concentrated high-density characteristics like wane, resulting in rejected boards and increased costs.
Innovation Solution
An adaptive lumber management system using a lumber scanner, sorting mechanism, and tipples to record and distribute lumber characteristics, optimizing board placement and orientation to spread high-density areas, thereby meeting specifications and minimizing rejections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If passive lumber management is used with fixed thresholds, then the process is simple and fast, but the manufacturing precision and quality uniformity deteriorate
Solution Approach 1:
The patent implements dynamic adjustment of sorting thresholds based on real-time process data from scanners and sensors. The system continuously monitors lumber characteristics (width, thickness, moisture content, strength properties) and automatically adjusts acceptance/rejection criteria to maintain uniform CLT properties while adapting to variations in raw material batches and processing conditions.
Solution Approach 2:
The system incorporates feedback loops where scan data from lumber characteristics is fed back to the control system. This feedback enables real-time optimization of sorting decisions, allowing the system to learn from previous decisions and adjust future threshold settings to achieve target uniformity levels in the final CLT product.
2Manufacturing precision
If adaptive lumber management with real-time scanning is implemented, then manufacturing precision and quality improve, but productivity and processing speed deteriorate
Solution Approach 1:
The system performs preliminary scanning and characterization of lumber boards before they enter the main processing line. By pre-sorting and categorizing boards based on their characteristics (creating groups for different quality levels), the system enables faster downstream processing while maintaining precision control over the distribution of characteristics in the final product.
Solution Approach 2:
The patent segments the lumber sorting process into multiple stages: initial rapid scanning, intermediate characterization, and final sorting. This segmentation allows different levels of inspection and control to be applied at different stages, maintaining overall speed while ensuring precision where needed.
3Manufacturing precision
If strict thresholds are imposed on lumber characteristics, then manufacturing precision improves, but loss of substance (board rejection) increases
Solution Approach 1:
The system applies different quality thresholds and acceptance criteria to different segments of the lumber production process and different product types. Rather than using a single uniform threshold, the system tailors acceptance criteria to local requirements, allowing greater flexibility in certain areas while maintaining precision where specifications are critical.
Solution Approach 2:
The patent dynamically changes acceptance parameters based on process conditions, raw material quality, and product requirements. By adjusting thresholds as process parameters change (such as moisture content variations or batch differences), the system maintains specification compliance while reducing unnecessary rejections.
Data Source
AI summary
Lumber sorting systems and methods that use adaptive lumber management to tailor the distribution of lumber to improve the yield and aesthetic properties of a product are disclosed. An adaptive lumber management system in accordance with the present disclosure may comprise a lumber scanner configured to record one or more characteristics of each board and create a data file for each board comprising information regarding the characteristic of the board. A processor may be configured to determine a target tray for each board based on the data files. The processor may be further configured to generate at least one mapping. The system may further comprise a sorting mechanism configured to sort the plurality of boards into their respective target trays and at least one tipple configured to select each board or the plurality of boards from the plurality of trays according to the at least one mapping.