Print Calibration via Medium Permeation Simulation
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Solution Overview
Problem
Existing calibration methods for printing devices require time-consuming and labor-intensive inspection printing every time a medium is changed, necessitating frequent recalibration.
Innovation Solution
A calibration method that involves acquiring medium information, specifying the medium type, performing a first simulation to estimate physical property conditions, and a second simulation to predict print results based on ejection conditions, allowing virtual calibration without actual printing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inspection printing is performed every time a medium is changed to calibrate the printing device, then printing accuracy is maintained, but calibration time and labor increase significantly
Solution Approach 1:
The patent creates a virtual copy of the printing process through simulation. Instead of performing actual inspection printing on physical media, the system simulates the ejection of liquid droplets onto a virtual model of the medium, predicting permeation results without consuming physical materials or time. This virtual copying resolves the contradiction by maintaining calibration capability while eliminating the time cost of repeated physical printing.
Solution Approach 2:
The system performs preliminary simulation of liquid permeation behavior before actual printing occurs. By pre-calculating how liquid will permeate into the medium based on medium information and physical property conditions, the system prepares calibration data in advance, eliminating the need for time-consuming post-printing inspection and calibration.
2Measurement precision
If physical inspection printing is performed for each medium type, then accurate calibration data is obtained, but material consumption and environmental impact increase
Solution Approach 1:
The patent replaces physical liquid ejection with virtual simulation. The simulation model replicates the permeation behavior of liquid on the medium without requiring actual liquid consumption. This resolves the contradiction by maintaining calibration accuracy through virtual experimentation while eliminating material waste entirely.
Solution Approach 2:
The system uses the medium's own structural information and physical property data to simulate its interaction with liquid, making the medium itself serve as the basis for calibration without requiring physical liquid application. The virtual model self-calibrates by processing medium information through the simulation algorithm.
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
Reduces calibration labor by enabling virtual simulation of print results, improving accuracy and reducing the time required for calibration by predicting optimal ejection conditions.
Implementation Method 1
acquiring permeation information relating to permeation state of the liquid ejected onto the medium
Data Source
AI summary
A calibration method includes acquiring medium information; specifying a type of medium by collating medium information with structure data; executing a first simulation of ejecting liquid by changing at least one of physical property conditions at least once for a structure model corresponding to a specified type of the medium; ejecting the liquid onto the medium; acquiring permeation information of the liquid ejected to the medium; estimating a physical property condition of the liquid by collating the permeation information with results of the first simulation; executing a second simulation of ejecting the liquid by changing at least one of ejection conditions at least once based on the estimated physical property condition; and displaying a plurality of virtual print results, which are virtual print results when printing is performed on the medium based on each of the ejection conditions, based on results of the second simulation.