Liquid Discharge Drive Waveform Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing liquid discharge apparatuses, such as ink jet printers, require manual determination of drive waveforms, which is burdensome and often fails to achieve optimal discharge characteristics for all ejecting parameters simultaneously.
Innovation Solution
A method for automatically determining the drive waveform of a liquid discharge apparatus using a first and second discharge characteristic, where conditions are set, measured, and evaluated through an optimization process involving multiple iterations to find a Pareto optimal solution for the drive pulse waveform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual determination of drive waveform is used, then the user can control the discharge characteristics, but the user burden becomes excessive
Solution Approach 1:
The system enables self-service by automatically determining the drive waveform without requiring manual user intervention. The processing circuit autonomously measures discharge characteristics, evaluates candidate waveforms, and determines the optimal drive waveform, allowing the system to serve itself rather than relying on continuous user input and adjustment.
2Extent of automation
If simple automation of manual determination is implemented, then user burden is reduced, but optimal discharge characteristics for all ejecting parameters cannot be achieved simultaneously
Solution Approach 1:
The system implements feedback by measuring the actual discharge characteristics for each candidate waveform and using these measurements to evaluate and compare waveforms. The processing circuit continuously refines the selection of optimal waveforms based on measured performance data, ensuring that the determined drive waveform actually achieves the desired discharge characteristics across multiple ejecting parameters.
Solution Approach 2:
The system applies dynamics by iteratively evaluating multiple candidate waveforms and dynamically selecting the optimal one based on measured discharge characteristics. Rather than using a fixed predetermined waveform, the system adapts the drive waveform selection based on actual performance measurements, allowing optimal characteristics to be achieved across varying ejecting parameters.
3Manufacturing precision
If multiple discharge characteristics are measured and evaluated, then optimal drive waveform can be determined, but the determination process becomes more complex
Solution Approach 1:
The system applies segmentation by dividing the determination process into distinct steps: measuring discharge characteristics for multiple candidate waveforms, evaluating each candidate based on measured characteristics, and selecting the optimal waveform. This segmented approach breaks down the complex determination process into manageable stages, making it easier to implement and control while achieving comprehensive optimization across multiple ejecting parameters.
Data Source
AI summary
The drive waveform determination method includes a first step of setting a condition of the first discharge characteristic, a second step of acquiring the first discharge characteristic and the second discharge characteristic that are measured when a candidate waveform is used as a waveform of the drive pulse, a third step of determining whether the first discharge characteristic meets the condition, and a fourth step of, when it is determined in the third step that the condition is met, evaluating a candidate waveform by performing a superior comparison using the second discharge characteristic. The waveform of the drive pulse is determined by an optimization process in which at least the second step, the third step, and the fourth step are repeated.