首页> 外文会议>International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field >Working Parameter Optimization of a Microstructure Electrohydrodynamic Jet Printing System by the Quantification of Margins and Uncertainties
【24h】

Working Parameter Optimization of a Microstructure Electrohydrodynamic Jet Printing System by the Quantification of Margins and Uncertainties

机译:用余量量化和不确定性的微观结构电流动力喷射印刷系统的工作参数优化

获取原文

摘要

The purpose of this study is to provide an accurate and effective method to predict the reliability of printed microscopic feature sizes of an electrohydrodynamic jet printing system. The Quantification of Margin and Uncertainty (QMU) method was used to investigate the reliability and uncertainty of the design parameters of an electrohydrodynamic jet printing system. The parameters of the printing system are optimized on this basis. A quantitative model for predicting the microscopic feature size of electrohydrodynamic jet printing patterns and the principle of the QMU method are introduced. The QMU method is applied to the above model through simulation analysis. We obtained the margins and uncertainties of the printing size of the model relative to the expected threshold size under fluctuating experimental parameters. Thus, the most reliable working parameter range is obtained, and the operation point farthest from the unqualified parameters is regarded as the most optimial. Our results show that when working parameters deviate from ideal conditions, there is an acceptable region where the printing parameters could meet the actual requirements.
机译:本研究的目的是提供一种准确且有效的方法来预测电流动力喷射印刷系统的印刷微观特征尺寸的可靠性。边缘和不确定性(QMU)方法的定量用于研究电流动力喷射印刷系统的设计参数的可靠性和不确定性。打印系统的参数在此基础上进行了优化。介绍了预测电流动力喷射印刷图案的微观特征尺寸的定量模型及QMU方法的原理。通过模拟分析将QMU方法应用于上述模型。我们在波动实验参数下的预期阈值大小获得了模型的印刷大小的边缘和不确定性。因此,获得了最可靠的工作参数范围,并且离不合格参数最远的操作点被认为是最良好的。我们的研究结果表明,当工作参数偏离理想条件时,打印参数偏离理想条件时,打印参数可以满足实际要求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号