2008
DOI: 10.1109/tmtt.2008.2007142
|View full text |Cite
|
Sign up to set email alerts
|

Microwave Mass Flow Detector for Particulate Solids Based on Spatial Filtering Velocimetry

Abstract: A novel mass flow detector has been developed using an open cylindrical resonator based on two microstrip patch couplers. The directivity of the couplers provides a compact sensor design without loss of sensitivity. The design of a particulate mass flow detector and the algorithm to detect the average solids concentration is shown. Spatial filtering velocimetry is applied to a microstrip patch sensor in order to detect the average particulate velocity. The simultaneous detection of the velocity and the solids/… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
19
0
1

Year Published

2009
2009
2021
2021

Publication Types

Select...
5
2
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 29 publications
(20 citation statements)
references
References 5 publications
0
19
0
1
Order By: Relevance
“…Reference measurements where carried out with a MSP (Microstrip Patch Sensor) [3], [11] that uses the spatial filtering velocimetry principle to detect the particulates velocity. Up to now only measurements with a constant feedrate of 1100 g/h where carried out with a velocity from the particles of 15 m/s.…”
Section: Measurement Resultsmentioning
confidence: 99%
“…Reference measurements where carried out with a MSP (Microstrip Patch Sensor) [3], [11] that uses the spatial filtering velocimetry principle to detect the particulates velocity. Up to now only measurements with a constant feedrate of 1100 g/h where carried out with a velocity from the particles of 15 m/s.…”
Section: Measurement Resultsmentioning
confidence: 99%
“…However, there are little real-time dynamic 3-D simulation researches on a designed capacitance sensor combining the dynamic characteristics of the two-phase flows for concentration measurement. Moreover, the study object in previous research is usually a section of straight pipe [12,13]. However, in the practical process of pneumatic conveying system, curving pipe, variable-diameter pipe and other special pipe structures are also commonly existed in transmission pipelines, and the flow characteristics around these special pipes are different from each other [14,15,16], so the performance researches of the sensors installed around these special pipes are also important.…”
Section: Introductionmentioning
confidence: 99%
“…A lot of researches have been done on the inverse problem including linear back projection (LBP), algebraic reconstruction technique (ART), Tikhonov regularization methods, simultaneous iterative reconstruction technique (SIRT), regularized Gauss-Newton algorithm, support vector machine (SVM) and back propagation (BP) neural network [14][15][16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%