Printing Parameter Prediction for High-Quality Special Media Setup
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Solution Overview
Problem
Existing printing systems face challenges in setting up process parameters for high-quality printing on diverse special media, such as textiles, due to variations in media properties and the need for precise processing and printing setups.
Innovation Solution
A computer-implemented method and system that utilize a dataset of records containing sample media parameters, printing quality, and process parameters to assign target process parameters for setting up a printing system, enabling high-quality printing on target media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual trial and error method is used to set up process parameters for printing on diverse special media, then the printing system can be configured for different media types, but the setup time and material waste increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-collecting and storing printing parameter data from multiple sources (manufacturer specifications, successful printing jobs, media characteristics) into a database before actual printing operations. When a new media type is introduced, the system queries this pre-prepared database to quickly retrieve suitable parameters, eliminating the need for time-consuming manual trial and error setup processes.
2Adaptability or versatility
If manual trial and error method is used to set up process parameters for printing on diverse special media, then the printing system can be configured for different media types, but the material waste increases due to failed print attempts
Solution Approach 1:
The system implements feedback mechanisms by continuously collecting data from successful and unsuccessful printing operations, analyzing the results, and updating the parameter database accordingly. This feedback loop enables the system to learn from past experiences and improve parameter selection accuracy, reducing material waste from failed print attempts while maintaining versatility across different media types.
3Manufacturing precision
If comprehensive process parameters are manually adjusted for each special media type, then the printing quality can be optimized, but the complexity of operation increases
Solution Approach 1:
The system applies self-service by automatically selecting and configuring appropriate printing parameters based on media type identification, eliminating the need for operators to manually adjust complex parameters. The system autonomously queries the database, retrieves suitable parameters, and configures the printing system, thereby maintaining high printing quality while significantly simplifying operation for users.
4Manufacturing precision
If extensive parameter testing is performed to ensure optimal printing results on new media, then the printing quality can be guaranteed, but the productivity decreases
Solution Approach 1:
The system uses copying by replicating successful parameter configurations from the database for similar media types. Instead of performing extensive parameter testing on each new media type, the system identifies comparable media in the database and copies their proven parameters, thereby guaranteeing printing quality through proven configurations while dramatically improving setup efficiency and productivity.
Data Source
AI summary
There is provided a computer implemented method of setting up a target printing system for printing on a target media, comprising: providing a dataset of a plurality of records, wherein a record comprises: (i) at least one sample media parameter of a sample media for processing and/or printing thereon by a sample printing system, (ii) an indication of a quality of a processing and/or a printing by the sample printing system set up with at least one sample process parameter, and (iii) a label indicating the at least one sample process parameter, assigning using the dataset, a combination of a target quality and at least one target media parameter, to at least one target process parameter, and providing the at least one target process parameter predicted to obtain the target quality, for generating instructions for processing and/or printing on the target media by the target printing system.