Tufted Patterned Textile Yarn Consumption Optimization
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Solution Overview
Problem
In the production of tufted textiles, inefficiencies arise from uneven yarn consumption across needles, leading to wasted yarn and increased labor in configuring tufting machines due to the need for multiple yarn cone sizes and improper creel positioning, especially when creating patterns with multiple colors.
Innovation Solution
Software is developed to automate the calculation of yarn consumption per needle per color, applying algorithmic modifications to balance yarn usage while minimizing pattern alterations, facilitating efficient yarn management and reducing labor costs by optimizing yarn distribution across the tufting machine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple colors of yarn are used in patterns with varying consumption rates, then design flexibility and pattern complexity are improved, but yarn waste and configuration complexity increase due to uneven consumption across needles
Solution Approach 1:
The system performs preliminary calculation of yarn consumption for each needle before production begins. The controller computes the total yarn length each needle will consume based on the pattern design, then uses these calculations to optimize yarn cone allocation and size selection in advance, preventing yarn waste before it occurs.
Solution Approach 2:
The controller uses feedback from the calculated yarn consumption data to automatically adjust yarn cone assignment and size selection for each needle. The system continuously monitors and compares actual consumption patterns, optimizing the configuration to minimize waste while maintaining design flexibility.
2Loss of substance
If yarn consumption is manually calculated and balanced across needles, then yarn waste is reduced, but labor time and configuration complexity increase significantly
Solution Approach 1:
The patent replaces manual calculation and configuration processes with an automated computer-based system. The controller automatically calculates yarn consumption for each needle, determines optimal yarn cone sizes, and configures the creel setup without manual intervention, eliminating the time-consuming manual balancing process while achieving the same waste reduction goals.
Solution Approach 2:
The system performs self-configuration by automatically calculating yarn consumption, selecting appropriate yarn cone sizes, and determining optimal needle-to-cone assignments. The controller independently optimizes the entire yarn management system without requiring external manual calculation or adjustment, significantly reducing configuration time.
3Loss of substance
If different sized yarn cones are prepared for each needle based on consumption patterns, then yarn waste is minimized, but creel configuration complexity and labor requirements increase
Solution Approach 1:
The controller serves multiple functions: it calculates yarn consumption, determines optimal cone sizes, assigns needles to cones, and manages the entire yarn feeding system. This multi-functionality consolidates what would otherwise require separate manual processes into a single automated system, reducing overall complexity despite the sophisticated optimization performed.
Solution Approach 2:
The system dynamically adjusts yarn cone size parameters based on calculated consumption patterns. By automatically selecting and changing the size parameter of yarn cones assigned to different needles, the system optimizes yarn usage without requiring manual configuration of each cone size, simplifying the overall setup process while minimizing waste.
Data Source
AI summary
A method is provided for optimizing the yarn consumption in patterned textiles by applying cell automata algorithms to bitmapped-type pattern designs including operator selected rules to influence the general appearance of the pattern design.