Image Forming Apparatus Paper Kind Discrimination
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Solution Overview
Problem
Existing image forming apparatuses face challenges in accurately discriminating between different types of paper, leading to potential mismatching during printing, which can result in lower print quality due to setting or loading errors.
Innovation Solution
An image forming apparatus equipped with a processor that compares paper characteristic data groups acquired at different time periods to determine control parameters for image formation, ensuring precise matching of paper settings and preventing quality issues by executing control operations based on these comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If paper classification is performed based on measurement data from media sensor, then automatic paper kind discrimination is achieved, but measurement data from papers near boundary regions may be misclassified into different divisions
Solution Approach 1:
The system performs preliminary measurement of paper characteristics at the paper feed tray before actual printing. This early measurement allows the control unit to pre-classify the paper kind and compare it with the set paper kind, preventing mismatching before printing occurs. The measurement is done in advance using a media sensor that detects paper properties such as basic weight, thickness, or surface nature.
Solution Approach 2:
The control unit compares the measured paper characteristics with predetermined classification boundaries and provides feedback by determining whether the measured paper kind matches the set paper kind. This feedback mechanism enables the system to identify mismatches and prevent printing with incorrect paper, thereby improving classification accuracy despite boundary region challenges.
2Productivity
If measurement data is used to classify paper kinds into divisions, then automated classification is possible, but small differences in measurement data may cause the same paper to be classified into different divisions
Solution Approach 1:
The system measures multiple paper characteristics (basic weight, thickness, surface nature) rather than relying on a single parameter. By using multiple parameters, the classification becomes more robust against small variations in individual measurements. The control unit综合considers these multiple characteristics to determine paper kind, improving classification consistency.
Solution Approach 2:
The paper kind is determined in advance before printing by measuring paper characteristics and comparing them with set values. This preliminary determination allows the system to establish a reliable classification baseline, reducing the impact of minor measurement variations that might occur during actual printing operations.
3Ease of operation
If paper kind is determined based on measurement data, then printing conditions can be automatically set, but mismatching between set paper and actual paper may occur due to loading errors
Solution Approach 1:
The control unit compares the measured paper characteristics with the set paper characteristics and determines whether they match. This feedback allows the system to detect loading errors where the actual paper differs from the set paper, and take appropriate actions such as issuing warnings or preventing printing, thereby improving paper setting accuracy.
Solution Approach 2:
The system performs paper kind determination and comparison before printing starts. By checking whether the measured paper matches the set paper in advance, the system can prevent printing with mismatched paper, ensuring reliable paper setting even when loading errors occur.
Data Source
AI summary
An image forming apparatus includes a sensor that acquires first and second data groups of paper characteristics by measuring a recording medium; a processor that determines a parameter for controlling at least one of image formation and conveyance of a recording medium on a conveyance path based on the first and second data groups acquired by the sensor; an image former that forms an image on a recording medium conveyed on the conveyance path based on the parameter. The processor compares the first and second paper characteristic data groups, the first paper characteristic data group has been measured at a first time period and the second paper characteristic data group has been measured at a second time period nearer to a present time than the first time period, and the processor controls the image formation based on a the comparison result.