Laminate Production from Uniform Log Segments and Graded Sticks
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Solution Overview
Problem
Existing lumber production processes face inefficiencies in utilizing lower-valued tree stem materials, leading to waste and suboptimal utilization of logs, particularly in the conversion to high-grade products.
Innovation Solution
A process involving the division of logs into consistent longitudinal lengths, followed by precise cutting and grading of sticks, which are then processed to form laminated wooden beams with enhanced strength and appearance, utilizing a robotic system for efficient stick production and lamination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional dimensional lumber production processes are used, then structural lumber and appearance lumber can be produced, but lower-valued tree stem materials are not efficiently utilized leading to waste and suboptimal conversion
Solution Approach 1:
The log is divided into multiple uniform segments of predetermined length through automated cutting. This segmentation allows systematic processing of different log portions, enabling efficient utilization of previously underutilized lower-valued materials by treating them as discrete, processable units rather than rejecting them as unsuitable feedstock.
Solution Approach 2:
The invention changes the processing parameters by introducing automated robotic systems for cutting, grading, and lamination. These parameter changes enable precise control over stick dimensions and selective assembly, transforming low-grade logs into high-value laminated lumber products that would not be economically viable through traditional manual processes.
2Productivity
If logs are broken down into smaller sections to increase output, then more lumber pieces are produced, but there is a greater spread of properties making quality control difficult
Solution Approach 1:
The system performs preliminary grading and characterization of log segments before final assembly. By pre-assessing the properties of each cut stick and grouping them by grade, the system ensures consistent quality outcomes even when processing a large volume of varied material, resolving the contradiction between high output and uniform quality.
Solution Approach 2:
Different regions of the log are processed differently based on their inherent properties. The system applies local quality control by grading individual sticks according to their specific characteristics and assigning them to appropriate laminate positions, ensuring that each local portion contributes optimally to the final product quality while maintaining high overall productivity.
3Loss of substance
If selective assembly of sticks is performed to create high-grade laminated products, then value enhancement is achieved, but the process complexity increases
Solution Approach 1:
The system employs automated robotic arms with vision systems and sensors that autonomously grade, sort, and assemble sticks. This self-service capability allows complex selective assembly operations to be performed without proportionally increasing operational complexity, as the system self-regulates the grading and assembly processes based on real-time material characterization.
Solution Approach 2:
Traditional manual grading and sorting mechanisms are replaced with automated optical scanning, sensor-based characterization, and robotic manipulation systems. This substitution reduces the operational complexity burden on human workers while enabling sophisticated selective assembly that maximizes the value of lower-valued logs through precise, algorithm-driven decision-making.
4Manufacturing precision
If automated robotic systems are used for cutting and lamination, then productivity and precision are improved, but the initial investment and system complexity increase
Solution Approach 1:
The robotic system is designed with multi-functionality, where a single integrated platform performs cutting, grading, sorting, and lamination operations. This universal system reduces the need for multiple separate specialized machines, thereby managing overall device complexity while maintaining high precision across all operations through coordinated robotic control.
Data Source
AI summary
This invention relates to a process for the division of an individual input source log into discrete longitudinal lengths for subsequent processing. The process comprises receiving an individual input source log, dividing the input source log into one or a plurality of output log portions of a predetermined length, wherein at least a portion of said output log portions resultant from said division are of a substantially equal or substantially constant or consistent longitudinal length, and wherein said substantially equal or substantially constant or consistent longitudinal length output log portions are procured as a feed stream of log material for a subsequent processing step. This process provides for the processing of logs and subsequent assembly into an end product formed from a composite of sticks derived from said processed logs.