Image Forming Quality Stabilization via Aging Parameter Substitution
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Solution Overview
Problem
Low-margin image forming systems lack effective methods to compensate for aging components and supplies, leading to degradation in image quality, and existing closed-loop feedback systems increase material costs.
Innovation Solution
An open-loop technique that characterizes aging effects on image forming devices and supplies using standardized parameters, allowing substitution with modified parameters to stabilize image quality without closed-loop feedback systems, reducing material costs and prolonging device life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If closed-loop feedback systems are used to compensate for aging components, then image quality stability is improved, but material costs increase
Solution Approach 1:
The patent applies preliminary action by pre-characterizing aging effects during manufacturing and storing compensation data in advance. The system creates a library of compensation values for different ages of image forming components, allowing it to retrieve and apply appropriate compensation without needing complex real-time feedback systems. This proactive approach enables quality stabilization while avoiding the material costs of closed-loop feedback hardware.
Solution Approach 2:
The system dynamically adjusts image forming parameters based on the detected age of components. By continuously monitoring component age and selecting appropriate compensation values from pre-stored data, the system adapts to aging without requiring complex feedback mechanisms. This dynamic parameter adjustment maintains image quality while keeping the system simple and cost-effective.
2Productivity
If image forming devices are used extensively to reduce costs, then device longevity is improved, but image quality degrades
Solution Approach 1:
The system pre-characterizes the aging behavior of image forming components during manufacturing and stores compensation data for various age stages. This allows the system to maintain image quality throughout extended use by retrieving appropriate compensation values based on component age, enabling productive longevity without quality degradation.
Solution Approach 2:
The patent changes image forming parameters based on component age to compensate for degradation. By adjusting parameters such as development bias, transfer voltage, or fuser temperature according to pre-characterized aging data, the system maintains consistent image quality even as components are used extensively, thereby extending productive device life.
3Ease of manufacture
If standardized parameters are used for image forming, then manufacturing simplicity is improved, but aging compensation capability deteriorates
Solution Approach 1:
The system performs preliminary characterization of aging effects during manufacturing and stores compensation data in advance. This allows standardized production processes to be maintained while still providing aging compensation through pre-calculated values that are selected based on component age, combining manufacturing simplicity with aging compensation capability.
Solution Approach 2:
The patent segments the aging compensation into discrete stages or age intervals, with pre-determined compensation values for each segment. This segmentation allows the system to maintain manufacturing simplicity by using standardized parameter sets for different age ranges while still providing effective compensation for aging effects through the segmented approach.
Data Source
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AI summary
In one example, image forming quality is stabilized by monitoring aging characteristics of an image forming system including its set of supplies. When an age-related triggering event occurs, a set of modified parameters are substituted for a set of standardized parameters. This substitution increases the image forming quality while sacrificing some visual acuity based on user preferences from psychometric testing.