Predictive Voltage Table Generation for Inkjet Heads
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Solution Overview
Problem
Existing liquid jet recording devices face challenges in enhancing user convenience due to the complexity and time-consuming nature of generating predictive voltage characteristic tables, which are crucial for accurately setting voltage values in drive signals for inkjet heads, leading to inefficiencies and increased work burdens.
Innovation Solution
A characteristic table generation system that uses a data acquisition section to obtain measured viscosity data, a conversion coefficient generation section to apply a first analytical method for converting this data into a predictive voltage characteristic table, and a table generation section to perform the necessary conversions, thereby automating the process and improving accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to generate predictive voltage characteristic tables, then measurement precision can be maintained, but the process becomes time-consuming and increases work burden
Solution Approach 1:
The system pre-calculates and stores conversion coefficients through automated analytical methods before actual characteristic table generation is needed. By preparing the conversion framework in advance and automating the calculation process, the system eliminates time-consuming manual operations while preserving measurement precision through systematic computational approaches.
Solution Approach 2:
The patent replaces manual mechanical operations with automated computational systems. The automated analytical method uses computer algorithms to perform calculations that were previously done manually, significantly reducing generation time while maintaining or improving precision through consistent computational procedures.
2Measurement precision
If complex manual procedures are used for characteristic table generation, then accuracy can be maintained, but device complexity and operational difficulty increase
Solution Approach 1:
The system performs self-service by automatically generating characteristic tables using built-in analytical methods and conversion coefficients. The automated process eliminates the need for complex manual procedures, reducing operational difficulty while maintaining accuracy through systematic computational algorithms that consistently apply the same precision-critical calculations.
Solution Approach 2:
The patent transforms the generation process by changing from manual parameter adjustment to automated parameter calculation. By using analytical methods that computationally determine voltage parameters based on viscosity characteristics, the system simplifies the operational interface while maintaining precision through mathematically rigorous parameter determination.
3Productivity
If automated methods are introduced to reduce work burden, then productivity improves, but measurement precision and reliability may deteriorate
Solution Approach 1:
The system replaces manual operations with automated computational methods that eliminate human error while maintaining reliability. The automated analytical method uses consistent mathematical algorithms to calculate voltage characteristics, ensuring reproducible and reliable results across multiple generations without the variability inherent in manual processes.
Solution Approach 2:
The system incorporates feedback mechanisms where conversion coefficients are derived from measured viscosity characteristics and used to validate and refine the generated voltage characteristics. This closed-loop approach ensures that automated generation maintains accuracy by continuously referencing measured data and adjusting calculations accordingly.
Data Source
AI summary
There are provided a characteristic table generation system and so on capable of enhancing the convenience of the user. The characteristic table generation system according to an embodiment of the present disclosure is a system for generating a predictive voltage characteristic table for defining a predictive characteristic curve, the system including a data acquisition section configured to obtain a measured viscosity characteristic table defining a measured characteristic curve between viscosity and temperature of the liquid, and a predetermined parameter separately, as input data, a conversion coefficient generation section configured to generate a conversion coefficient used when performing a conversion process from the measured characteristic curve into the predictive characteristic curve based on the predetermined parameter using a first analytical method as a predetermined analytical method which takes the predetermined parameter as an explanatory variable, and which takes the conversion coefficient as an objective variable, and a table generation section configured to perform the conversion process using the measured viscosity characteristic table and the conversion coefficient generated by the conversion coefficient generation section to thereby generate the predictive voltage characteristic table.