量化数据矩阵代码模块的位移:对不同的近似方法进行比较研究,用于预测性维护按需打印系统的预测性维护
Peter Bischoff1,2,3, André V Carreiro4, Christiane Schuster1
1Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Maria-Reiche-Str. 2, 01109 Dresden, Germany.
Journal of imaging
|July 28, 2023
概括
早期检测打印模式中的位置偏差,如数据矩阵代码 (DMC),可以实现预测性维护. 我们的方法准确量化这些偏差,改善印刷质量评估和系统优化.
科学领域:
- 材料科学与工程 材料科学与工程
- 制造过程 制造过程 制造过程
- 质量控制 质量控制 质量控制
背景情况:
- 使用合或色素油墨进行按需下降打印容易导致喷嘴堵塞.
- 喷嘴堵塞导致位置偏差,导致不一致的打印模式,如数据矩阵代码 (DMC).
- 早期发现这些偏差对于印刷系统的预测性维护至关重要.
研究的目的:
- 准确量化印刷点在DMC中的目标位置的位置偏差.
- 为了比较不同的方法来计算目标位置和评估打印质量.
- 为了实现印刷系统的预测性维护策略.
主要方法:
- 利用亲和力转换和聚类算法从打印的位置计算目标位置.
- 对于完整的DMC,量化位置偏差.
- 将开发的方法与最先进的解码算法进行准确性比较.
主要成果:
- 提出的方法准确地确定位置偏差,重点是打印质量评估,而不是DMC解码.
- 与最先进的解码算法相比,在确定偏差方面取得了显著更高的准确性.
- 证明了卓越的性能,特别是对于低质量的打印DMC.
结论:
- 开发的方法提供了通过量化位置偏差来评估印刷品质的可靠方法.
- 结果有助于创建决策系统,以实现有效的预测性维护.
- 优化了印刷系统,并通过精确的偏差分析提高了印刷图案的可靠性.
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