...
首页> 外文期刊>Journal of Microelectromechanical Systems >A Dynamic Calibration Method for Pirani Gauges Embedded in Fluidic Networks
【24h】

A Dynamic Calibration Method for Pirani Gauges Embedded in Fluidic Networks

机译:嵌入在流体网络中的皮拉尼压力计的动态校准方法

获取原文
获取原文并翻译 | 示例

摘要

This paper describes in situ dynamic calibration of microfabricated Pirani gauges, which are commonly used to measure vacuum levels in microsystems that may include pumps, valves, and other pressure modulation elements. Calibration is accomplished with a configuration where two sides of the supporting membrane of a Pirani gauge are at different pressures: an interior pressure within the microsystems and an exterior ambient pressure that can be directly controlled. This particular configuration is increasingly common as Pirani gauges are embedded in complex fluidic pathways such as those found in micro-gas chromatographs and multistage gas pumps. In the dynamic calibration the ambient pressure is rapidly modulated, while the interior pressure in the sense gap of the Pirani gauge remains relatively unchanged. The exterior pressure that is equal to the interior pressure is determined by a regression model. The dynamic calibration procedure and subsequent error analysis are illustrated by application to a 162-stage monolithic Knudsen vacuum pump. For this device, dynamic calibration improves the estimated upstream pressure from 30 (as suggested by uncorrected static calibration) to 0.9 Torr, with a 95.4% confidence interval from 0.7 to 1.1 Torr, assuming normal (Gaussian) distribution. These results demonstrate that dynamic calibration can be significantly more accurate than conventional static calibration for certain types of devices. $hfill[2013hbox{-}0139]$
机译:本文介绍了微型Pirani压力表的原位动态校准,该压力表通常用于测量可能包含泵,阀和其他压力调节元件的微型系统中的真空度。通过Pirani压力计的支撑膜的两侧处于不同压力的配置来完成校准:微系统内的内部压力和可以直接控制的外部环境压力。随着皮拉尼真空计嵌入复杂的流体通道(例如在微型气相色谱仪和多级气泵中发现的那些)中,这种特殊的配置越来越普遍。在动态校准中,环境压力被快速调节,而皮拉尼压力表的传感间隙中的内部压力保持相对不变。等于内部压力的外部压力由回归模型确定。通过将其应用于162级整体式Knudsen真空泵,可以说明动态校准程序和后续的误差分析。对于此设备,动态校准将估计的上游压力从30(未经校正的静态校准建议)提高到0.9托,假设正态(高斯)分布,置信区间从0.7到1.1托达到95.4%置信区间。这些结果表明,对于某些类型的设备,动态校准比常规的静态校准要准确得多。 $ hfill [2013hbox {-} 0139] $

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