Ink Model Generation Mechanism for Print Medium Adaptation
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Solution Overview
Problem
Existing printing systems inaccurately estimate ink usage due to varying ink drop volumes over time, requiring complex and time-consuming processes to determine accurate ink model parameter estimates and drop sizes, which are specific to particular print mediums, settings, and printers.
Innovation Solution
A printing system that uses ink model logic and processors to generate ink model parameter data based on ink deposition and optical density measurements, employing a modified Weibull ink model to describe the relationship between optical density and ink deposition, allowing for efficient computation of drop sizes across different print mediums.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If constant volume assumption is used for ink drops, then ink usage estimation is simplified, but accuracy deteriorates due to varying ink drop volumes over time
Solution Approach 1:
The patent changes the parameters of the ink model by introducing variable ink drop volume parameters that adapt to different printing conditions, environments, and printhead states. Instead of assuming constant volume, the system dynamically adjusts parameters based on measured optical density data and ink deposition patterns, resolving the contradiction between simplicity and accuracy.
2Measurement precision
If accurate ink model parameter determination is performed through printing multiple test jobs and measuring ink volumes, then measurement precision improves, but loss of time and productivity worsen due to arduous and time-consuming processes
Solution Approach 1:
The patent performs preliminary characterization of the printhead and ink system by measuring optical density and ink deposition during initial setup or calibration phases. This preliminary data collection enables the system to establish accurate ink model parameters in advance, eliminating the need for repeated time-consuming measurements during normal operation.
Solution Approach 2:
The patent creates a digital model (copy) of the ink deposition characteristics by measuring optical density data and deriving ink model parameters. This digital representation allows the system to predict ink usage and drop sizes without physically measuring ink volumes for each printing condition, significantly reducing time requirements.
3Measurement precision
If ink model parameters are determined for specific print mediums and settings, then measurement precision improves, but adaptability worsens because determinations apply only to evaluated configurations
Solution Approach 1:
The patent develops a universal ink model framework that can adapt to different print mediums, settings, and printheads. By using optical density measurements as a common basis and deriving parameters that characterize ink deposition behavior, the system creates a multi-functional model that works across various configurations rather than requiring separate models for each specific setup.
Solution Approach 2:
The patent implements dynamic ink model parameters that can be adjusted based on the specific print medium and settings being used. The system measures optical density for the actual print medium and adjusts the ink model parameters accordingly, allowing the same basic model structure to adapt to different conditions while maintaining accuracy.
Data Source
AI summary
A printing system is disclosed. The printing system includes at least one physical memory device to store ink model logic and one or more processors coupled with the at least one physical memory device to execute the ink model logic to generate first ink model parameter data for a first print medium based on first ink deposition data for a second print medium and first optical density measurement data for the first print medium.