Industrial Printer Path Optimization for Precise Substrate Marking
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Solution Overview
Problem
Existing industrial printers face inefficiencies in marking patterns on substrates due to time-consuming manual optimization of fonts and paths, risk of substrate burn, and ink droplet interference, leading to poor print quality and reduced throughput.
Innovation Solution
Implementing a genetic algorithm to optimize the path for marking patterns, allowing for near-optimal marking paths that reduce substrate burn risk and ink droplet interference, enabling efficient marking of various fonts and codes without manual optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual optimization of fonts and marking paths is performed, then marking precision can be improved, but time consumption increases significantly
Solution Approach 1:
The system performs automatic optimization of marking paths and fonts using algorithms that analyze the pattern itself and determine optimal marking sequences without human intervention. The controller automatically calculates marking paths considering substrate movement speed, printer capabilities, and pattern characteristics to achieve both precision and efficiency
Solution Approach 2:
The system dynamically adjusts marking parameters such as droplet firing timing, laser pulse duration, substrate speed, and marking path coordinates based on real-time conditions and pattern requirements. This automated parameter optimization replaces manual tuning while maintaining high precision
2Manufacturing precision
If the same point is marked numerous times with a laser printer, then complete pattern coverage is achieved, but substrate burn occurs
Solution Approach 1:
The system incorporates feedback mechanisms that monitor marking progress and substrate conditions, adjusting the marking path dynamically to avoid excessive passes over the same area. The controller tracks which areas have been marked and modifies subsequent paths to ensure complete coverage while limiting maximum passes per location
Solution Approach 2:
The marking path is made dynamic rather than static, allowing real-time adjustments based on substrate movement variations and marking progress. The system can adaptively change path coordinates and timing to distribute laser or ink application more evenly across the substrate surface
3Productivity
If ink droplets are fired at high speed to match substrate movement, then productivity increases, but ink droplet interference and misplacement increase
Solution Approach 1:
The system pre-calculates optimal droplet firing times and positions based on predicted substrate movement and printer capabilities. By planning the entire marking sequence in advance, the system coordinates droplet ejection with substrate motion to maintain precision even at high speeds
Solution Approach 2:
The system replaces purely mechanical timing approaches with computational algorithms that calculate optimal firing sequences. The controller uses software-based optimization to determine precise firing moments that account for droplet flight time, substrate acceleration, and printer response characteristics
4Manufacturing precision
If brute force method is used to find optimal marking path, then marking quality is improved, but execution time becomes very long
Solution Approach 1:
The system uses heuristic algorithms that find near-optimal solutions rather than exhaustively checking all possible paths. This approach achieves sufficient marking quality by focusing on key optimization criteria such as minimizing total path length and reducing direction changes, without requiring complete enumeration of all possibilities
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The genetic algorithm enables optimal or near-optimal marking paths, reducing substrate burn risk, improving print quality, and increasing throughput by minimizing ink droplet misplacement and manual optimization time.
Implementation Method 1
a self-assembled monolayer is formed on a substrate, wherein the self-assembled monolayer comprises a first region and a second region, the first region having a first surface energy, the second region having a second surface energy different from the first surface energy
Implementation Method 2
the first block copolymer domain self-assembles on the first region, the second block copolymer domain self-assembles on the second region
Data Source
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AI summary
The embodiments herein relate to a method for enabling marking of a pattern (101) on a substrate with an industrial printer (110). A genetic algorithm is executed based on the pattern (101) to be marked on the substrate. A result of the genetic algorithm indicates a resulting path which the industrial printer (110) should follow when marking the pattern (101) on the substrate. It is determined if the resulting path fulfils at least one criterion.