Auto-flattening Control Algorithm for Flexible Display Rolling Tests
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Solution Overview
Problem
In rolling tests for flexible displays, inconsistent tension application leads to varying sample shapes and unreliable durability evaluations, as users set different tensions for the same samples, affecting the consistency and accuracy of the test results.
Innovation Solution
An auto-flattening control algorithm that determines and maintains a minimum driving value of tension for samples during rolling tests by monitoring rotation loads and adjusting the tension based on preset angles, ensuring consistent tension within a predetermined range, using a reliability testing method and device with a control unit to manage the winding and moving units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually set tension for samples in rolling tests, then the testing process is simple and flexible, but the tension applied to samples becomes inconsistent leading to varying sample shapes and unreliable durability evaluations
Solution Approach 1:
The patent implements a feedback control system that monitors the actual tension applied to the sample during rolling tests and automatically adjusts the tension to maintain it within a predetermined range. The control unit receives tension data from sensors and modifies the driving force accordingly, ensuring consistent tension application across all samples regardless of manual setting variations.
Solution Approach 2:
The system performs self-adjustment of tension parameters based on real-time monitoring of sample behavior during rolling. The control algorithm automatically detects when tension deviates from the optimal range and corrects it without requiring manual intervention, making the system self-regulating and ensuring reliable durability evaluations.
2Ease of operation
If manual tension setting is used for simplicity, then the operation is easy, but the sample shape consistency deteriorates due to varying tensions
Solution Approach 1:
The feedback control mechanism continuously monitors sample shape parameters and tension levels, automatically adjusting the applied tension to maintain consistent sample shaping during rolling tests. This eliminates the need for precise manual tension setting while ensuring uniform sample geometry.
Solution Approach 2:
The system dynamically adjusts tension parameters based on real-time measurements of sample characteristics and rolling conditions. By automatically modifying tension values within a predetermined range, the system maintains optimal sample shape consistency without requiring operator expertise in tension calibration.
3Reliability
If automatic tension control is implemented to ensure consistency, then the reliability of testing improves, but the device complexity increases
Solution Approach 1:
The patent employs a feedback control algorithm that automatically regulates tension based on real-time sensor data. The control unit compares actual tension readings with target values and adjusts the driving mechanism accordingly, ensuring consistent test results while automating the complexity of tension management.
Solution Approach 2:
The system replaces manual mechanical tension adjustment with an automated control algorithm that uses sensors and actuators to regulate tension. This substitution of manual operation with automated control ensures test consistency while managing system complexity through software-based solutions.
Data Source
AI summary
Proposed is an auto-flattening control method that is an auto-flattening control method for determining a minimum driving value of tension that is applied to a sample coupled at both sides to a moving unit and a winding unit, respectively. The auto-flattening control method includes a sample rotation step of rotating the winding unit at a preset reference angle, a setup value checking step of monitoring a rotation load that is applied to a sample by rotation of the winding unit, and a setting comparison step of comparing variations between an N-th (a natural number larger than 0) rotation load and an N-1-th rotation load for the rotation load that is monitored through the setup value checking step.