Printer Paper Property Detection and Condition Adjustment
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Solution Overview
Problem
Conventional image forming apparatuses face issues with accurately detecting paper types, leading to incorrect settings for transport speed and temperature, which can result in malfunctions, such as failed stapling or reduced productivity, especially when the same type of paper is used repeatedly.
Innovation Solution
An image forming apparatus equipped with a detector to measure paper properties, such as water content and basic weight, and a determinator that adjusts printing conditions based on these measurements and the job situation, ensuring optimal settings for printing and post-processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sensor detection is used to automatically determine paper type, then ease of operation is improved, but measurement precision deteriorates due to sensor errors and environmental changes
Solution Approach 1:
The system performs preliminary detection of paper properties (basic weight, thickness, water content) before the actual printing operation. Detection results are stored and used for subsequent printing jobs, avoiding repeated detection and reducing the impact of environmental variations on measurement precision.
Solution Approach 2:
The system uses detection results to automatically adjust printing conditions (transport speed, fixing temperature, post-processing parameters) and provides feedback loops that refine detection accuracy over time by comparing detection results with actual printing outcomes and making corrections.
2Reliability
If detection threshold is set to identify thick paper, then reliability of post-processing is improved, but productivity deteriorates due to lower transport speed settings
Solution Approach 1:
The system applies different detection thresholds and evaluation criteria for different paper properties. Instead of using a single threshold for all decisions, it evaluates basic weight, thickness, and water content with different weightings and thresholds appropriate to each property, enabling more nuanced and accurate paper type classification.
Solution Approach 2:
The system dynamically adjusts transport speed and other printing parameters based on the detected paper type and specific paper properties. For papers detected as thick, it applies thick-paper settings; for standard papers, it uses faster transport speeds, thereby maintaining both reliability and productivity.
3Productivity
If detection threshold is set to identify standard paper, then productivity is improved through faster transport speed, but reliability deteriorates due to incorrect post-processing settings
Solution Approach 1:
The system performs preliminary detection and classification of paper type before initiating printing operations. By detecting paper properties in advance and storing the results, it ensures that appropriate transport speed and post-processing settings are applied from the start, preventing both productivity loss and reliability issues.
Solution Approach 2:
The system implements feedback mechanisms that monitor printing outcomes and adjust detection thresholds and parameter settings accordingly. When detection errors are detected (e.g., standard paper incorrectly classified as thick paper), the system learns from these errors and refines its detection algorithm to improve both productivity and reliability.
4Measurement precision
If user input is required for paper type, then measurement precision is improved, but ease of operation deteriorates due to troublesome input operation
Solution Approach 1:
The system performs automatic paper type detection using sensors that measure paper properties such as basic weight, thickness, and water content. This self-service detection eliminates the need for manual user input while maintaining accurate paper type identification through multi-parameter measurement and analysis.
Data Source
AI summary
Disclosed is an image forming apparatus, which may execute a job including printing an image. The disclosed image forming apparatus may include: a printer; a detector that may detect a property of a printing paper sheet, the printing paper sheet being a paper sheet used by the printer in the printing; and a determinator that may, on the basis of the property detected by the detector and a situation of the job, determine conditions for executing the printing.