Film Extrusion Control Using Production Models and Feedback
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Solution Overview
Problem
Existing film extrusion line control methods rely heavily on operator experience, leading to inconsistent film product quality and high reject rates, especially during transitions or operator changes, without a reliable, automated, and reworkable process.
Innovation Solution
A control method using a production model to determine input parameters based on output parameter deviations, employing algorithms and artificial intelligence to form parameter relationships and generate control values for automated or semi-automated adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If operator experience and knowledge are used to control the film extrusion line, then the control process can be performed with existing manual methods, but the film product quality becomes inconsistent and reject rates increase
Solution Approach 1:
The patent replaces manual operator control with an automated control system that uses sensors to detect film parameters (such as gauge, temperature, speed) and automatically adjusts extrusion line parameters. This substitution eliminates the variability introduced by different operators while maintaining ease of operation through automated systems.
Solution Approach 2:
The control system continuously monitors film product parameters using sensors and feeds this information back to automatically adjust extrusion parameters. This closed-loop feedback mechanism ensures consistent film quality by real-time correction of deviations, replacing the intermittent and variable manual adjustments previously made by operators.
2Device complexity
If manual control based on operator experience is used, then the system remains simple and cost-effective, but the process becomes non-reworkable and quality changes occur during operator transitions
Solution Approach 1:
The patent creates a digital model (virtual twin) of the film extrusion process that replicates the physical system's behavior. This digital copy stores optimal parameter settings and process knowledge, making the system reworkable and transferable without depending on specific operators. The digital model can be easily replicated and transferred between different extrusion lines.
Solution Approach 2:
The control system automatically adjusts process parameters based on the digital model and sensor feedback, replacing manual parameter changes. This ensures consistent quality during operator transitions since parameter adjustments are based on objective sensor data and the digital model rather than individual operator knowledge, making the process reliable and reworkable.
3Manufacturing precision
If automated control with production models is implemented, then film product quality consistency improves and reject rates decrease, but the device complexity and implementation cost increase
Solution Approach 1:
The control system is designed to be universal and multi-functional, serving multiple purposes: quality control, process optimization, operator training, and knowledge storage. By consolidating these functions into a single system, the patent reduces overall complexity compared to having separate systems for each function, while maintaining high film quality consistency.
Solution Approach 2:
The patent introduces a digital model as an intermediary between the physical extrusion process and the control system. This digital model simplifies the control architecture by providing a virtual representation that can be manipulated and optimized without directly controlling physical parameters, reducing the complexity of the overall control system while improving quality consistency.
Data Source
AI summary
A method for automated quality control in film extrusion processes using a production model-based control system. The method involves monitoring quality parameters of produced film and comparing them against target values to determine deviations. Using a production model, the system establishes relationships between these quality deviations and physical operating parameters of the extrusion line. Based on these relationships, the system automatically generates and implements control value adjustments to the relevant physical operating parameters. The adjusted parameters are then used to continue film production, creating a closed-loop control system that maintains product quality. This automated approach enables real-time quality optimization and reduces the need for manual intervention in the film extrusion process.


