Textile Machine Speed Control via Yarn Vibration Analysis
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Solution Overview
Problem
Textile machines face challenges in quickly adjusting to new fabrics with diverse specifications, leading to unstable yield quality and prolonged adjustment times due to the need for manual parameter setting by experienced operators.
Innovation Solution
A textile machine adjustment method and system that uses a processor to set and adjust the operating speed based on fabric information, records vibration characteristics of yarns using a video camera, and adjusts correlation factor weights to optimize production parameters, enabling automatic correction of operating speed to meet expected yield quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual parameter setting by experienced operators is used, then initial operating parameters can be established, but adjustment time is prolonged and yield quality becomes unstable
Solution Approach 1:
The patent replaces manual operator adjustment with an automated control system that uses sensors to detect yarn vibration characteristics and a processor to automatically adjust operating parameters. This substitution of mechanical/manual operations with automated control systems resolves the contradiction by eliminating human response time variability and achieving faster, more consistent parameter adjustments.
Solution Approach 2:
The patent implements a feedback mechanism where sensors continuously monitor yarn vibration characteristics and feed this information back to the control system. The processor analyzes this feedback and automatically adjusts operating parameters in real-time, creating a closed-loop control system that maintains yield quality stability while reducing adjustment time through continuous self-correction.
2Productivity
If operating speed is increased to improve productivity, then production efficiency increases, but yarn breakage occurs due to excessive tension
Solution Approach 1:
The patent applies dynamics by making the operating speed adjustable and responsive to real-time conditions. Instead of fixed high-speed operation, the system dynamically adjusts speed based on detected yarn vibration characteristics, allowing the machine to operate at optimal speeds that maintain yarn integrity while maximizing productivity when conditions permit.
Solution Approach 2:
The feedback mechanism detects changes in yarn vibration that indicate approaching tension limits. When vibration characteristics suggest excessive tension, the system automatically reduces operating speed to prevent yarn breakage. This real-time feedback control enables the system to maintain high productivity within safe operational boundaries.
3Ease of operation
If fixed operating parameters are used for new fabrics, then machine operation is simplified, but parameter accuracy is insufficient leading to quality issues
Solution Approach 1:
The system performs self-service by automatically detecting fabric characteristics through sensor measurements and autonomously determining optimal operating parameters without requiring manual input or operator expertise. The control system serves itself by using real-time vibration data to self-adjust parameters, combining operational simplicity with high precision through automated adaptation to each fabric type.
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 significantly reduces adjustment time and stabilizes fabric quality by automatically optimizing operating speeds and parameters, improving production efficiency and reducing the reliance on experienced operators for adjustments.
Implementation Method 1
the vibration characteristics of multiple yarns of the fabric are recorded by a video camera
Data Source
AI summary
A textile machine adjustment method is provided. An operating speed of a textile machine within an operating range is set by a processor according to the basic information of the fabric. A motion image of the fabric and the vibration characteristics of the yarns are recorded by a video camera. The operating speed of the textile machine is adjusted at least once, and the vibration characteristics of the yarns is analyzed after each adjustment of the operating speed. Multiple correlation factor functions and the relative weights of the multiple factors related to the operating speed of the textile machine are recorded. The relative weights of the multiple factors are adjusted according to a yield quality of the fabric. When an expected value is met, the fabric continues to be produced at the current operating speed; otherwise, the relative weights of multiple factors are adjusted to correct the operating speed.