Strip Casting Drying Control via Model-Based Parameter Adjustment
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Solution Overview
Problem
Strip casting systems face challenges in controlling the evaporation of solvents in the production process, leading to difficulties in achieving the required quality and speed, resulting in high reject rates and laborious product changes due to complex control issues and the need for precise drying processes.
Innovation Solution
A model process computer is used to calculate and adjust operating parameters of the drying device, such as fan speed and temperature, based on a model of the strip casting system, allowing for parallel and independent calculation of changes in the operating state, which are then loaded into the system process computer to optimize the production process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the film dries quickly to increase production speed, then productivity improves, but the film may tear or lose desired quality
Solution Approach 1:
The drying process is made dynamic by continuously adjusting drying parameters (temperature, air flow, residence time) based on real-time film state monitoring. This allows the system to optimize drying speed while preventing quality degradation through adaptive control rather than fixed parameters.
Solution Approach 2:
A feedback control system monitors film characteristics during drying and adjusts drying parameters accordingly. Sensors detect film state (moisture content, temperature, mechanical properties) and feed this information back to the control system, which modifies drying conditions to maintain quality while maximizing production speed.
2Manufacturing precision
If the film dries slowly to maintain quality, then manufacturing precision improves, but productivity decreases and the film may stick to the reel
Solution Approach 1:
The system dynamically adjusts drying parameters to achieve optimal drying rate at each stage of the process. Early stages use gentler conditions to prevent defects, while later stages increase intensity to prevent sticking and maintain quality, thus improving both quality and productivity simultaneously.
Solution Approach 2:
The drying process is divided into periodic stages with different parameter settings. Each stage is optimized for specific requirements (initial drying, intermediate drying, final drying) to prevent both quality issues and sticking, enabling faster overall processing while maintaining standards.
3Manufacturing precision
If complex control regulation is implemented to optimize drying process, then manufacturing precision improves, but device complexity increases
Solution Approach 1:
The control system uses self-regulating mechanisms where the drying process itself provides feedback information (through sensors monitoring temperature, humidity, film state) that automatically adjusts parameters without complex external intervention. The system serves itself by using process data to control the process.
Solution Approach 2:
Instead of complex mechanical or structural modifications, the system achieves precise control by dynamically changing operational parameters (temperature, air flow rate, residence time, humidity) of existing drying equipment. This software-based parameter control is simpler than hardware redesign.
4Adaptability or versatility
If product changes are carried out frequently to meet market demands, then adaptability improves, but loss of time increases due to laborious adjustment
Solution Approach 1:
The system prepares for product changes in advance by pre-configuring drying parameter profiles for different products. When a product change is requested, the system can quickly switch between pre-programmed settings rather than manually adjusting parameters, significantly reducing changeover time while maintaining adaptability.
Solution Approach 2:
The control system is designed to dynamically adapt to different products through programmable parameters. Each product type has optimized drying curves and parameter sets that the system can automatically select and adjust, enabling rapid product changeovers without manual intervention or complex reconfiguration.
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 enables quick and efficient product changes, reduces waste, and maintains product quality by optimizing the production process based on real-time data, allowing for continuous improvement of the strip casting system.
Implementation Method 1
the evaporation of a solvent contained in the applied base material causes difficulties
Implementation Method 2
at least one drying device and a system process computer acting at least on the at least one drying device
Data Source
Figure 1~2
Figure 3~5
Figure 6~7
AI summary
The invention relates to a strip casting system (1) comprising a driven continuous band (4), a casting device (5), at least one drying device (8a..8d, 9a..9d), and a system process computer (12) that acts at least on the at least one drying device (8a..8d, 9a..9d). In addition to the system process computer (12), a model process computer (13) is also provided, which acts on a model of the strip casting system (1) and calculates a value and/or course at least of an operating parameter (x, n, T) of the drying device (8a..8d, 9a..9d) in relation to a change of an operating state of the strip casting system (1). The calculation is carried out in parallel to, and independent of the process currently taking place on the strip casting system (1), and the result is loaded into the system process computer (12) in the event that the operating state change is required. The invention also relates to an operating method for a strip casting system (1) of this type, as well as a computer program product and a computer for the process optimisation of a strip casting system.