Dynamic Correction Interval for Image Forming Apparatus
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Solution Overview
Problem
Image forming apparatuses face reduced correction process accuracy due to deteriorating surface conditions or adverse environmental conditions like high humidity and temperature, leading to increased failures and reduced detection values.
Innovation Solution
An image forming apparatus with a forming unit, detection unit, correction unit, setting unit, and control unit that detects surface conditions and adjusts the correction process frequency based on detected values, setting the process to avoid low accuracy executions by increasing the correction interval when conditions deteriorate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the correction process is executed at normal frequency under deteriorating surface conditions or adverse environmental conditions, then the correction process frequency is maintained, but the correction accuracy decreases and failure rate increases
Solution Approach 1:
The correction interval is made dynamic rather than fixed. The setting unit adjusts the correction interval based on detection results from the detection unit, which monitors surface conditions and environmental factors. When conditions deteriorate, the correction interval is extended; when conditions are favorable, the interval is shortened. This dynamic adjustment resolves the contradiction by adapting correction frequency to actual conditions, maintaining reliability while optimizing productivity.
Solution Approach 2:
The system changes the parameter of correction interval based on detected surface conditions and environmental factors. The setting unit modifies the correction interval parameter dynamically, extending it when detection values indicate poor conditions (deteriorated surface, high temperature, high humidity) and reducing it when conditions are good. This parameter change approach allows the system to maintain correction accuracy by avoiding corrections under adverse conditions while still maintaining appropriate correction frequency when conditions permit.
2Manufacturing precision
If the correction process is executed frequently to maintain image quality, then image quality is improved, but the number of failures increases under deteriorating surface conditions
Solution Approach 1:
The system implements a feedback mechanism where the detection unit continuously monitors surface conditions and environmental factors, and the setting unit uses this feedback to adjust the correction interval. The detection values feed back into the control logic, which decides whether to execute the correction process based on current conditions. This feedback loop ensures that corrections are only executed when likely to succeed, maintaining manufacturing precision while avoiding failures caused by adverse conditions.
Solution Approach 2:
The detection unit performs preliminary assessment of surface conditions and environmental factors before the correction process is executed. By evaluating detection values in advance, the system determines whether conditions are suitable for correction. This preliminary action prevents execution of corrections under adverse conditions, thereby maintaining correction success rate while still achieving image quality goals when conditions permit.
3Reliability
If the correction interval is extended to avoid low accuracy executions, then correction accuracy is maintained, but the correction process frequency decreases
Solution Approach 1:
The correction interval is dynamically adjusted based on real-time detection of surface conditions and environmental factors. Rather than using a fixed extended interval that would reduce productivity, the system shortens the interval when conditions are favorable and extends it when conditions are adverse. This dynamic approach maintains correction accuracy by avoiding poor-condition corrections while preserving productivity by executing corrections frequently when conditions permit.
Solution Approach 2:
The correction interval parameter is changed dynamically based on detection values. When surface conditions and environmental factors are favorable, the setting unit reduces the correction interval, increasing correction frequency and maintaining productivity. When conditions deteriorate, the interval is extended to maintain accuracy. This parameter change strategy resolves the contradiction by making correction frequency conditional rather than uniformly reduced.
Data Source
AI summary
An image forming apparatus is provided. The image forming apparatus includes: a forming unit configured to form an image on a relatively moving object, the image including a mark; a first detection unit configured to detect the mark formed by the forming unit so as to obtain a first detection result; a correction unit configured to execute a correction process in which an image forming condition of the image forming unit is changed based on the first detection result; a setting unit configured to set the correction process not to be executed when a value related to a correction accuracy of the correction unit is lower than a reference value; and a control unit configured to control the correction process based on the setting by the setting unit.