Melt Spinning Control Using Feedback for Stable Thread Quality
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Solution Overview
Problem
Existing melt spinning processes rely heavily on operator experience for process adjustments, leading to variability in thread quality and productivity, as the quality is monitored through condition parameters but requires manual intervention for improvements.
Innovation Solution
A method and device that utilize a reversing module with machine learning algorithms to automatically adjust process parameters based on actual state and process parameter values, enabling continuous monitoring and autonomous correction of deviations in the melt spinning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operator intervention is used to adjust process parameters based on experience, then process adjustments can be made, but thread quality consistency and productivity improvement are limited by operator availability and experience variability
Solution Approach 1:
The control system automatically monitors yarn state parameters and process parameters, determines target values for process parameters, and switches process steps without operator intervention. The system serves itself by implementing closed-loop control where the machine autonomously adjusts process parameters based on real-time feedback from sensors, eliminating dependency on manual operator experience while maintaining consistent thread quality and enabling continuous productivity improvement.
Solution Approach 2:
The system continuously monitors actual state parameters of the yarn and actual process parameters, compares them against target values, and automatically adjusts process parameters by switching between predefined process steps. This closed-loop feedback mechanism ensures consistent thread quality by rapidly responding to deviations while maintaining high productivity through automated real-time control without waiting for manual intervention.
2Productivity
If automated control is implemented to eliminate operator intervention, then thread quality and productivity can be maintained at high levels consistently, but the system complexity increases
Solution Approach 1:
Multiple process steps with different process parameter settings are predefined and stored in the control system before operation begins. When a deviation is detected, the system automatically switches between these pre-configured process steps rather than requiring complex real-time calculations or manual programming. This approach maintains high productivity through automated response while limiting control system complexity by using predetermined control strategies.
3Manufacturing precision
If multiple process parameters are monitored and adjusted simultaneously, then comprehensive quality control is achieved, but the response time and system complexity increase
Solution Approach 1:
The control system monitors multiple yarn state parameters and process parameters simultaneously but processes them through segmented evaluation - each parameter is evaluated against its specific target value range, and process steps are switched based on the combined assessment. This segmentation allows comprehensive quality control of multiple parameters while maintaining rapid response time by using parallel evaluation rather than sequential analysis.
Data Source
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AI summary
The invention relates to a method for controlling a melt spinning process for producing threads and to a melt spinning apparatus for producing synthetic threads. In this case a plurality of process parameters of a plurality of process steps of melt generation, filament extrusion, thread treatment and thread winding are monitored. Moreover, at least one of a plurality of condition parameters is monitored on each of the threads. The respective actual values of the condition parameters and the respective actual values of the process parameters are jointly analysed. In order to facilitate a targeted intervention in the process, at least one target value of one of the process parameters is determined from the actual values of the condition parameters and the actual values of the process parameters and the relevant process step is changed over automatically to setting the process parameter. For carrying out the process steps the melt spinning apparatus has a melt generating device, a melt spinning device, a treatment device and a winding device. For controlling the devices a machine controller is provided, which is connected to a monitoring device for receiving condition parameters and to the devices for carrying out the process steps for receiving process parameters. In this case the machine controller has a changeover module in order from the actual values of the condition parameters and the actual values of the process parameters to generate at least one control command for automatic changeover of one of the process steps of one of the devices to a target value of one of the process parameters.