Dynamic Transfer Field Control for Xerographic Image Quality

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Solution Overview

Problem

Xerographic toner transfer systems face challenges in optimizing image quality due to variations in substrates and environments, as existing algorithms are not robust enough to handle differences in toner performance, substrate characteristics, and environmental conditions, leading to suboptimal image transfer efficiency and quality.

Innovation Solution

The implementation of pre- and post-final transfer mass sensors to measure transfer efficiency, allowing for adjustments in control algorithms to optimize toner transfer parameters, creating a closed-loop control system that can operate in automatic or manual modes to enhance image quality on diverse substrates and environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing transfer control algorithms are used, then transfer robustness is optimized for standard conditions, but transfer efficiency deteriorates when printing on nonstandard substrates or in varying environmental conditions

Engineering Contradiction:

Improvetransfer robustnessVSAvoidadaptability to substrate and environment variations

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system measures the actual transfer field using sensors and feeds this information back to the control algorithm, which then adjusts transfer parameters dynamically. This closed-loop feedback mechanism enables the system to adapt to varying substrate and environmental conditions while maintaining optimal transfer efficiency.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The transfer control system transitions from static pre-programmed algorithms to dynamic adaptive control. The control parameters are continuously adjusted based on real-time measurements of transfer field, substrate properties, and environmental conditions, allowing the system to optimize performance for each specific printing scenario.

Inventive Principle:

Principle #15Dynamics

2Manufacturing precision

If transfer parameters are optimized for one substrate type, then image quality improves for that substrate, but performance deteriorates when switching to different substrate types

Engineering Contradiction:

Improveimage qualityVSAvoidsubstrate type flexibility

Core Design Contradiction:

Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The system dynamically changes transfer parameters including voltage, current, and timing based on measured substrate properties and environmental conditions. This parameter adaptation allows optimal image quality to be achieved across diverse substrate types without requiring manual reconfiguration.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

Real-time measurement of transfer efficiency and substrate characteristics feeds back to the control system, which automatically adjusts parameters to maintain optimal image quality regardless of substrate variations.

Inventive Principle:

Principle #23Feedback

3Device complexity

If pre-programmed transfer algorithms are used, then system complexity is minimized, but measurement and control precision deteriorates for varying conditions

Engineering Contradiction:

Improvecontrol system complexityVSAvoidtransfer efficiency measurement accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The system incorporates sensors to measure actual transfer field and transfer efficiency, creating a feedback loop that provides precise measurement data to the control algorithm without requiring complex manual intervention.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs self-characterization and self-optimization by automatically measuring substrate properties, environmental conditions, and transfer parameters, then adjusting itself without external intervention, maintaining simplicity while achieving high precision.

Inventive Principle:

Principle #25Self-service

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

This solution significantly improves image quality by optimizing transfer efficiency, reducing residual toner on the transfer belt, and minimizing image defects, especially when printing on non-standard substrates or in varying environmental conditions, while also reducing toner waste.

Implementation Method 1

a transfer field is applied to transfer the image from the ITB to the substrate

Methodology Applied

Scientific EffectElectrostatic force: Electrostatics

Implementation Method 2

exposed to a light image of an original document to be reproduced. The exposure discharges the photoconductive insulating surface in exposed or background areas and creates an electrostatic latent image

Methodology Applied

Scientific EffectPhotoelectric effect: Photoelectric Effect

Implementation Method 3

the toner particles are attracted from the carrier particles by the charge pattern of the image areas on the photoconductive insulating area to form a powder image

Methodology Applied

Scientific EffectElectrostatic induction: Electrostatic Induction

Data Source

PatentUS8405883B2Dynamic transfer field control for variations in substrate and environment

Publication Date: 2013.03.26 XEROX CORP

AI summary

This invention relates to modifying built-in software in printing and copier machines. In particular, the modification will be to software relating to the transfer system control algorithms. This modification can take place when different paper, substrate, toner or environment changes. The purpose of this modification is to provide an optimum image quality when any of these conditions change.