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  4. Non-invasive determination of the mass flow rate for particulate solids using microwaves
 
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Non-invasive determination of the mass flow rate for particulate solids using microwaves

Citation Link: https://doi.org/10.15480/882.8981
Publikationstyp
Journal Article
Date Issued
2023-12-14
Sprache
English
Author(s)
Zoad, Amrit  
Kölpin, Alexander  orcid-logo
Hochfrequenztechnik E-3  
Penirschke, Andreas  
TORE-DOI
10.15480/882.8981
TORE-URI
https://hdl.handle.net/11420/44800
Journal
Sensors  
Volume
23
Issue
24
Article Number
9821
Citation
Sensors 23 (24): 9821 (2023)
Publisher DOI
10.3390/s23249821
Scopus ID
2-s2.0-85180616272
Publisher
Multidisciplinary Digital Publishing Institute
Peer Reviewed
true
This paper presents a novel technique for the mass flow rate determination of particulate solids called the “Sliding Mass Technique”. The mass flow rate is a measure of the mass of a substance that passes through a given cross-sectional area per unit time. Its calculation requires simultaneous detection of the concentration and velocity of the Material Under Test. A novel measurement technique is designed for determining the concentration of the mass flow without the necessity for density evaluation. The mass flow rate is determined by fusing the established concentration results with velocity results obtained from “Microwave Spatial Filtering Velocimetry”. A new metamaterial-based mass flow sensor for particulate solids was designed, realized and measured in an industrial environment. A Software-Defined Radio (Ettus Research<sup>™</sup>’s USRP B210) was utilized as a sensor electronic system for DAQ purposes. A MATLAB app was developed to operate the SDR. Measurements were carried out on-site using a state-of-the-art wood pellet heating system with wood pellets with different moisture contents. The measurement results were found to be in very good agreement with the expected results, which strengthens the feasibility of this newly proposed measurement technique.
Subjects
mass flow rate
measurement technique
non-invasive sensor
solid concentration determination
velocity detection
DDC Class
621: Applied Physics
Funding Organisations
Zentrales InnovationsprogrammMittelstand
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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