Printing Parameter Prediction Model for Color Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current printing methods require time-consuming and costly trial-and-error processes to achieve satisfactory print results, necessitating separate profiles for each ink, spot color, and substrate combination, with manual optimization of printing parameters.
Innovation Solution
A method that predicts and adjusts printing parameters using sample print data, allowing for the extrapolation of printing conditions to achieve desired color results without the need for test prints, by integrating into a color management system to optimize printing parameters efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If trial and error method is used to verify printing parameters, then printing quality can be ensured, but time consumption and costs increase significantly
Solution Approach 1:
The system performs preliminary calculation of printing parameters using a color prediction model before actual printing. The control unit calculates optimal printing parameters based on ink formula, substrate type, and desired color values, eliminating the need for time-consuming trial and error test prints while ensuring printing quality.
2Manufacturing precision
If separate profiles are created for each ink, spot color, and substrate combination, then printing accuracy is improved, but device complexity and process complexity increase
Solution Approach 1:
The system uses a color prediction model that dynamically adjusts printing parameters based on input variables such as ink formula composition, substrate type, and desired color values. Instead of maintaining separate static profiles, the model calculates optimal parameters by changing key variables, reducing complexity while maintaining accuracy.
3Manufacturing precision
If manual optimization of printing parameters is performed, then printing quality can be improved, but productivity decreases
Solution Approach 1:
The control unit automatically performs optimization of printing parameters using the color prediction model without requiring manual intervention. The system self-adjusts parameters based on the calculated predictions, eliminating the need for operators to manually optimize each print job, thereby improving productivity while maintaining quality.
4Reliability
If test printing is conducted to verify parameters, then reliability of print output is ensured, but costs and time loss increase
Solution Approach 1:
The system replaces the mechanical trial-and-error printing process with a computational color prediction model. The control unit uses algorithms to predict optimal printing parameters based on ink formulas and substrate properties, substituting physical test prints with digital calculations, thereby ensuring reliability without the associated costs and time loss.
Data Source
AI summary
A printing method comprising the steps of providing, in relation to data of a print job to be carried out, at least one prediction for print data for at least one selection of print parameters using at least one set of sample print data (S107). At least one print parameter is optionally adjusted to provide a prediction which comes sufficiently close to the data of the print job (B109). A software product for performing the method is also disclosed, and the use of the software product for determining printing parameters for a printing method.