Inkjet Press Variable Data Model for Nozzle Compensation
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Solution Overview
Problem
Current methods for configuring inkjet printing machines require extensive test runs for each printhead composition, printing substrate, and printing speed, leading to significant setup waste and time, and are inadequate for compensating defective nozzles.
Innovation Solution
A method using a computer to create and apply compensation profiles based on a learned data model that assigns setting parameters to specific substrate categories and machine configurations, reducing the need for repetitive test runs by calculating other parameters automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If test runs are performed for each printhead composition, printing substrate, and printing speed to create compensation profiles, then manufacturing precision is improved, but productivity deteriorates due to significant setup time and waste
Solution Approach 1:
The system performs preliminary characterization of print nozzles during initial setup or maintenance periods, storing nozzle performance data in a database. When configuration is needed, the system retrieves and applies pre-calculated compensation profiles instead of performing test runs at the moment of configuration, thus eliminating setup time while maintaining precision
Solution Approach 2:
The system creates digital models or copies of nozzle performance characteristics through initial measurements and stores them as compensation profiles. These digital copies can be instantly applied and adjusted without physical test runs, allowing rapid configuration changes while preserving the precision that would otherwise require extensive testing
2Manufacturing precision
If comprehensive test measurements are conducted for all parameters, then manufacturing precision is improved, but loss of substance increases due to setup waste
Solution Approach 1:
Compensation profiles are determined in advance during non-productive periods or initial setup, and stored for reuse. This eliminates the need to consume substrates during configuration test runs, as the same profiles can be applied repeatedly across multiple production runs without additional substrate consumption
Solution Approach 2:
The system recovers and reuses compensation profile data across different printing jobs and substrates. Instead of discarding the information gained from initial measurements, the system stores and applies these profiles repeatedly, eliminating the need for continuous substrate consumption during configuration processes
3Manufacturing precision
If all substrate data sets are re-entered when components are replaced, then manufacturing precision is maintained, but ease of operation deteriorates
Solution Approach 1:
The system creates and stores digital representations of compensation profiles that can be instantly copied and applied when components are replaced. Instead of manually re-entering substrate data, the system retrieves the appropriate pre-stored profile or automatically adjusts the existing digital model, maintaining precision while dramatically simplifying the reconfiguration process
Solution Approach 2:
The system replaces manual data entry and physical testing processes with automated digital modeling and data retrieval. The computer system automatically calculates and applies new compensation profiles based on stored data and component identification, eliminating the need for operators to manually re-enter substrate parameters and perform test runs
4Ease of operation
If average compensation profiles are used across all substrates, then ease of operation is improved, but manufacturing precision deteriorates due to insufficient accuracy
Solution Approach 1:
The system maintains a library of compensation profiles tailored to specific substrate types, printhead compositions, and printing conditions. Instead of applying a single average profile to all situations, the system selects and applies the locally optimized profile that matches the specific configuration, ensuring both ease of operation through automated selection and high precision through specialized profiles
Solution Approach 2:
The system dynamically selects and adjusts compensation profiles based on the specific substrate, printhead, and printing parameters in use. Rather than using static average profiles, the system adapts the compensation data to match the current configuration, maintaining simplicity through automated selection while achieving precision through parameter-specific optimization
Data Source
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AI summary
A method for configuring inkjet printing presses using a computer, comprising the steps of categorizing individual setting parameters of the inkjet printing presses using a data model created and trained for this purpose, storing the categorized setting parameters in data records of a database, creating a new set of setting parameters for configuring the inkjet printing press for a specific print job from the stored data records by the computer, recalculating the setting parameters for configuring the inkjet printing press when certain categorized setting parameters are changed using the trained data model by the computer, and adapting the data records in the database to the changed setting parameters by the computer.