Print Material Density Abnormality Detection via Calibration
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Solution Overview
Problem
Printing systems face issues with print material density abnormalities due to changes in diode stability, leading to incomplete or uneven print material transfer, which can result in failures during the calibration procedure.
Innovation Solution
A calibration procedure using compound-shaped calibration images and density sensors to detect and measure print material density abnormalities, providing notifications for stability changes in diodes, ensuring uniform print material distribution by analyzing the reflection capabilities and geometric features across the printing component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If diode stability changes during printing operation, then print material density becomes abnormal, but detecting and correcting this in real-time increases system complexity
Solution Approach 1:
The patent performs calibration procedures before normal printing operations to establish baseline density values. The calibration image is printed and measured in advance, creating reference data that is stored and used during subsequent printing. This preliminary action allows the system to detect abnormalities without requiring complex real-time calibration mechanisms during production printing.
Solution Approach 2:
The patent implements a feedback mechanism where the measured density values from the calibration image are compared against reference values, and abnormality notifications are generated when deviations exceed thresholds. This feedback loop enables the system to monitor diode stability and alert operators to density abnormalities, maintaining print quality through continuous monitoring and comparison rather than complex active control.
2Measurement precision
If density sensors and calibration procedures are implemented to detect print material density abnormalities, then measurement precision improves, but the calibration procedure complexity increases
Solution Approach 1:
The patent uses a calibration image that contains a copy or representation of the actual print content. By printing and measuring this calibration image (which is a simplified version of the real print job), the system can accurately measure print material density without requiring complex calibration procedures for every actual printing operation. The calibration image serves as a representative model for density measurement.
Solution Approach 2:
The calibration procedure is performed in advance before normal printing operations. The system prints a calibration image, measures its density characteristics, stores reference values, and then uses these pre-established references for subsequent printing. This preliminary calibration action separates the complex measurement setup from routine printing, simplifying the overall process while maintaining high measurement precision.
3Reliability
If real-time monitoring of diode stability is implemented, then reliability of print material transfer improves, but loss of time for calibration and monitoring increases
Solution Approach 1:
The system performs calibration and density measurement in advance before actual printing operations. By establishing reference values from a calibration image printed and measured beforehand, the system minimizes time loss during production printing. The calibration is done once (or periodically) rather than continuously during each print job, reducing overall time consumption while maintaining reliability through the stored references.
Solution Approach 2:
The system implements efficient feedback by comparing measured density values against pre-stored reference values and generating abnormality notifications only when deviations exceed predetermined thresholds. This threshold-based feedback mechanism avoids continuous intervention and allows the printing system to operate autonomously within normal parameters, minimizing time loss while maintaining reliable print material transfer through targeted monitoring.
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
The solution effectively detects and addresses print material density abnormalities, preventing failures by ensuring consistent print material transfer and improving the overall printing process through real-time monitoring and notification of diode stability changes.
Implementation Method 1
based on a reflection capability of the plurality of print materials delivered to the intermediate transfer belt
Data Source
AI summary
Example implementations relate to a system comprising a memory resource to store instructions executable by a processing resource. In some examples, the processing resource can execute instructions to perform a calibration procedure for a printing device including a printing component. Responsive to the calibration procedure, the processing resource can execute instructions to deliver a print material arranged in a compound shape to a calibration image on the printing component included in the printing device. Responsive to performing the delivery, the processing resource can execute instructions to measure a print material density of the print material on the calibration image of the compound shape during the calibration procedure via a density sensor included in the printing device. Furthermore, the processing resource can execute instructions to detect an abnormality in the print material density via signal analysis instructions and provide a notification regarding the print material density abnormality.