arrow
返回

Model-based density measurement with Coriolis flowmeter

delete2006-08-01
delete10
PRE
AI
K
Kolahi, Kourosh *
S
Schroeder, Thorsten
R
Roeck, Helmut
DOI:10.1109/TIM.2006.877719delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Today, Coriolis meters offer the best performance in the mass-flow measurement. For those applications where a high accuracy and a low pressure drop together with the easy clearance conditions are needed, the single oscillating straight pipe will be the best choice. The tube oscillates in resonance, and the resonance frequency encodes the information about the density of the fluid, which is, together with mass flow, an important parameter for the quality and process control. A shortcoming of the density measurement with today's Coriolis mass flowmeters (CMFs) is the lack of the sophisticated compensation schemes that take into account,the influence of the temperature, flowrate, pressure, viscosity, etc., on the resonance frequency. Nevertheless, several heuristic methods to correct the density readings are in use and lead to satisfying solutions. However, these methods are complex, device specific, and rather expensive. In this paper, a method is presented to overcome these drawbacks. It is based on a dynamic model of the mass flowmeter and allows for the parameter identification of the measuring tube during operation. To be more specific, the effective spring constant of the oscillating tube is detected online. Using this result, the vibrating,mass and, subsequently, the density of the fluid are calculated by taking into account the resonance frequency.
Keyword:
Coriolis flowmeter
densimeter
density measurement
model-based correction
sensor integration
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Instrumentation and Measurement 封面图
IEEE Transactions on Instrumentation and Measurement
IF:
5.9
论文数:
2.0W
被引数:
5.8W

机构

暂无机构信息
引用论文

引用论文

Serious Games for Decision-Making Processes: A Systematic Literature Review
err2020-08-18
err0
PREAI
errMatti Rissanen; Lasse Metso; Kalle Elfvengren; Tiina Sinkkonen
err分享
err收藏