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--- Timezone: CEST
Creation date: 2024-04-19
Creation time: 19-29-42
--- Number of references
40
article
WeissenbrunnerESS2023
A virtual flow meter downstream of various elbow configurations
Metrologia
2023
7
17
8.4,8.41,Flow, UQ
accepted
DOI 10.1088/1681-7575/ace7d6
AndreasWeissenbrunner
Ann-KathrinEkat
MartinStraka
SonjaSchmelter
article
WeissPBOS2023
Derivation and validation of a reference data-based real gas model for hydrogen
Elsevier International Journal of Hydrogen Energy
2023
3
30
8.41,Flow
accepted
https://doi.org/10.1016/j.ijhydene.2023.03.073
S.Weiss
J.Polansky
M.Bär
K.Oberleithner
S.Schmelter
article
WebnerPKS2023
Sensitivity analysis of threshold parameters in slug detection algorithms
International Journal of Multiphase Flow
2023
1
158
104278
8.41,8.4, Flow
10.1016/j.ijmultiphaseflow.2022.104278
10.1016/j.ijmultiphaseflow.2022.104278
F.Webner
J.Polansky
S.Knotek
S.Schmelter
phdthesis
Olbrich2022
Quantitative methods for the characterization of separated and intermittent multiphase flow patterns
2022
12
20
8.4, 8.41, flow
TU Berlin
https://doi.org/10.14279/depositonce-16659
MarcOlbrich
conference
SchmelterKOB2022
Comparison of different slug frequency calculation methods for the validation of two-phase flow simulations
2022
10
21
8.4,8.41,Flow
19th International Flow Measurement Conference (FLOMEKO)
Chongqing, China
19th International Flow Measurement Conference (FLOMEKO)
17-21.10.2022
S.Schmelter
S.Knotek
M.Olbrich
M.Bär
conference
WeissMOBS2022
Numerical investigation of boundary layer effects within cylindrical critical flow Venturi nozzles
2022
10
21
8.4,8.41,Flow
19th International Flow Measurement Conference (FLOMEKO)
Chongqing, China
19th International Flow Measurement Conference (FLOMEKO)
17-21.10.2022
S.Weiss
B.Mickan
K.Oberleithner
M.Bär
S.Schmelter
conference
BocklerdMSSB2022
Metrology infrastructure for high-pressure gas and liquified hydrogen flows
2022
10
8.4,8.41,Flow
19th International Flow Measurement Conference (FLOMEKO)
Chongqing, China
19th International Flow Measurement Conference (FLOMEKO)
17-21.10.2022
H.-B.Böckler
M.de Huu
R.Maury
S.Schmelter
M.D.Schakel
O.Büker
article
OlbrichRKLvBOS2022
Deep learning based liquid level extraction from video observations of gas-liquid flows
International Journal of Multiphase Flow
2022
9
10
8.4,8.41,Flow,ML
https://doi.org/10.1016/j.ijmultiphaseflow.2022.104247
M.Olbrich
L.Riazy
T.Kretz
T.Leonard
D.S.van Putten
M.Bär
K.Oberleithner
S.Schmelter
article
StrakaWKHS2022
Simulation Uncertainty for a Virtual Ultrasonic Flow Meter
Metrology
2022
7
18
2
3
335-359
8.41,8.4,Flow,UQ
https://doi.org/10.3390/metrology2030021
MartinStraka
AndreasWeissenbrunner
ChristianKoglin
ChristianHöhne
SonjaSchmelter
article
PolanskyS2022
Implementation of turbulence damping in the OpenFOAM multiphase flow solver interFoam
Archives of Thermodynamics
2022
3
1
43
1
21-43
Multiphase flow, Stratified flow, Turbulence damping, Computational fluid dynamics, OpenFOAM, Reynolds-averaged Navier–Stokes, Detached eddy simulation, Delayed detached eddy simulation
8.4,8.41,Flow
http://journals.pan.pl/Content/122890/PDF/art02_internet.pdf
10.24425/ather.2022.140923
JiriPolansky
SonjaSchmelter
article
KnotekSO2021
Assessment of different parameters used in mesh independence studies in two-phase slug flow simulations
Measurement: Sensors
2021
9
28
18
100317
8.4,8.41,Flow
2665-9174
10.1016/j.measen.2021.100317
StanislavKnotek
SonjaSchmelter
MarcOlbrich
article
SchmelterOKB2021
Analysis of multiphase flow simulations and comparison with high-speed video observations
Measurement: Sensors
2021
9
23
18
100154
8.4,8.41,Flow
2665-9174
10.1016/j.measen.2021.100154
SonjaSchmelter
MarcOlbrich
StanislavKnotek
MarkusBär
article
OlbrichHLSBOS2021
Comparing temporal characteristics of slug flow from tomography measurements and video observations
Measurement: Sensors
2021
9
22
18
100222
8.4,8.41,Flow
2665-9174
10.1016/j.measen.2021.100222
MarcOlbrich
AndrewHunt
TerriLeonard
DennisS. van Putten
MarkusBär
KilianOberleithner
SonjaSchmelter
article
SchmelterKOFB2021
On the influence of inlet perturbations on slug dynamics inhorizontal multiphase flow a computational study
Metrologia
2021
1
21
58
1
014003
8.4,8.41,Flow
10.1088/1681-7575/abd1c9
SSchmelter
SKnotek
MOlbrich
AFiebach
MBär
article
SchmidtFSSLS2021
The impact of 4D flow displacementartifacts on wall shear stress estimation
Magnetic Resonance in Medicine
2021
85
6
3154-3168
8.4,8.41,Flow
10.1002/mrm.28641
SSchmidt
SFlassbeck
SSchmelter
ESchmeyer
M ELadd
SSchmitter
article
OlbrichSBSOS2020
Identification of coherent structures in horizontal slug flow
Flow Measurement and Instrumentation
2020
10
16
76
101814
8.4,8.41,Flow
10.1016/j.flowmeasinst.2020.101814
MOlbrich
ESchmeyer
MBär
MSieber
KOberleithner
SSchmelter
article
OlbrichBOS2020
Statistical characterization of horizontal slug flow using snapshot proper orthogonal decomposition
International Journal of Multiphase Flow
2020
9
6
134
103453
8.4,8.41,Flow
10.1016/j.ijmultiphaseflow.2020.103453
MOlbrich
MBär
KOberleithner
SSchmelter
article
SchmelterOSB2020
Numerical simulation, validation, and analysis of two-phase slug flow in large horizontal pipes
Flow Measurement and Instrumentation
2020
3
10
73
101722
8.4,8.41,Flow
10.1016/j.flowmeasinst.2020.101722
SSchmelter
MOlbrich
ESchmeyer
MBär
article
SchmelterOSB2019
Numerical simulation, validation, and analysis of two-phase slug flow in large horizontal pipes
Proceedings of the 18th International Flow Measurement Conference FLOMEKO 2019
2019
7
1
8.4,8.41,Flow
SSchmelter
MOlbrich
ESchmeyer
MBär
article
OlbrichSBSOS2019
Identification of coherent structures in horizontal slug flow
Proceedings of the 18th International Flow Measurement Conference FLOMEKO 2019
2019
7
1
8.4,8.41,Flow
MOlbrich
ESchmeyer
MBär
MSieber
KOberleithner
SSchmelter
article
RiazySOAvNS2019
Porous medium 3D flow simulation of contrast media washout in cardiac MRI reflects myocardial injury
Magnetic Resonance in Medicine
2019
4
16
advance online publication
8.4,8.41, flow
10.1002/mrm.27756
LRiazy
TSchäffter
MOlbrich
J ASchueler
Fv. Knobelsdorff-Brenkenhoff
TNiendorf
JSchulz-Menger
article
OlbrichSROBS2018
Validation of simulations in multiphase flow metrology by comparison with experimental video observation
J. Phys.: Conf. Series
2018
11
1
1065
9
092015
8.4,8.41,Flow
10.1088/1742-6596/1065/9/092015
MOlbrich
ESchmeyer
LRiazy
KOberleithner
MBär
SSchmelter
article
SchmelterOSB2018
Validation of multiphase flow simulations by comparison with experimental video observations
Proceedings of the North Sea Flow Measurement Workshop 2018
2018
11
1
8.4,8.41,Flow
SSchmelter
MOlbrich
ESchmeyer
MBär
article
StrakaFEK2018
Hybrid simulation of a segmental orifice plate
Flow Measurement and Instrumentation
2018
2
14
60
124--133
8.4,8.41,Flow,UQ
10.1016/j.flowmeasinst.2018.02.006
MStraka
AFiebach
TEichler
CKoglin
article
WeissenbrunnerFJT2017
A coupled numerical and laser optical method for on-site calibration of flow meters
Eccomas Proceedia UNCECOMP
2017
6
17
5393
576--587
8.4,8.41,Flow,UQ
10.7712/120217.5393.16913
AWeissenbrunner
AFiebach
MJuling
P UThamsen
article
FiebachSKS2016
Numerical simulation of multiphase flow in a vertically mounted Venturi flow meter
Proceedings of the 17th International Flow Measurement Conference FLOMEKO 2016
2016
9
29
8.4,8.41,Flow
AFiebach
ESchmeyer
SKnotek
SSchmelter
article
KnotekFS2016
Numerical simulation of multiphase flows in large horizontal pipes
Proceedings of the 17th International Flow Measurement Conference FLOMEKO 2016
2016
9
29
8.4,8.41,Flow
SKnotek
AFiebach
SSchmelter
article
WeissenbrunnerFSMTL2016
Simulation-based determination of systematic errors of flow meters due to uncertain inflow conditions
Flow Measurement and Instrumentation
2016
8
29
8.4,8.41,Flow,UQ
in_preparation
10.1016/j.flowmeasinst.2016.07.011
AWeissenbrunner
AFiebach
SSchmelter
MBär
P.UThamsen
TLederer
article
Schmelter_2016_1
Polynomchaos zur Unsicherheitsquantifizierung in Strömungssimulationen für metrologische Anwendungen
tm-Technisches Messen
2016
1
8
83
2
71-76
8.41, Flow, UQ
http://www.degruyter.com/view/j/teme.2016.83.issue-2/teme-2015-0109/teme-2015-0109.xml
SSchmelter
AFiebach
AWeissenbrunner
article
Lindner_JFE2015
A Computational Fluid Dynamics Study on the Gas Mixing Capabilities of a Multiple Inlet System
J. Fluids Eng
2016
1
5
138
3
031302
8.41, Flow
8.41, Flow
10.1115/1.4031380
GLindner
SSchmelter
RModel
ANowak
VEbert
MBär
article
e73c330da32016_2
Numerical prediction of the flow rate through a flow meter with uncertain inflow profile
Proceedings of Imeko 2015 XXI World Congress Measurement in Research and Industry
2015
11
30
8.41, Flow, UQ
AWeissenbrunner
AFiebach
SSchmelter
MStraka
MBär
TLederer
article
Schmelt_JCF2015
Numerical prediction of the influence of uncertain inflow conditions in pipes by polynomial chaos
Int. J. Comp. Fluid. Dyn.
2015
1
5
29
6-8
411-422
8.41, Flow, UQ
10.1080/10618562.2015.1112899
SSchmelter
AFiebach
RModel
MBär
article
Wendt2014
Untersuchungen zum Temperaturverhalten von Flüssigkeiten in großen Lagertanks
Technische Sicherheit
2014
11
13--17
8.41
8.41, Flow
GWendt
RJost
SSchmelter
DWerner
article
f3ee8757792015
Numerical investigation of temperature distributions in large storage tanks
Proceedings of Flomeko 2013 16th International Flow Measurement Conference
2013
12
31
8.41, Flow
SSchmelter
RModel
GWendt
MBär
article
Jousten2014
A standard to test the dynamics of vacuum gauges in the millisecond range
Vacuum
2013
100
14--17
Vacuum gauges that control fast processes in industrial applications, e.g. load locks, should immediately react to pressure changes. To study the response time of vacuum gauges to rapid pressure changes, a dynamic vacuum standard was developed where the pressure may change from 100 kPa to 100 Pa within 20 ms in a step-wise manner or within longer times up to 1 s in a predictable manner. This is accomplished by a very fast opening gate valve DN40 and exchangeable orifices and ducts through which the mass flow rate can be calculated by gas flow simulation software. A simple physical model can be used to approximate the calculations. Experiments have been performed with capacitance diaphragm gauges with improved electronics to give a read-out every 0.7 ms. Preliminary results indicate that their response time is at most 1.7 ms, but may be significantly less.
Choked flow,Dynamic pressure,Response time,Vacuum gauge,Vacuum metrology
8.41,Flow
fileadmin/internet/fachabteilungen/abteilung_8/8.4_mathematische_modellierung/8.42/DYNAMIK/842_dynamik_Sensors_2010_10_7621.pdf
http://www.sciencedirect.com/science/article/pii/S0042207X13002546
0042207X
10.1016/j.vacuum.2013.07.037
KJousten
SPantazis
JButhig
RModel
MWüest
JIwicki
inbook
Model_2012
Numerical simulations and turbulent modelling for application in flow metrology
2012
84
8.41, Flow
F. Pavese, M. Bär, J.-R. Filtz, A. B. Forbes, L. Pendrill and K. Shirono
World Scientific, New Jersey
RModel
SSchmelter
GLindner
MBär
article
Forster2011
Untersuchungen zur Explosionsgefahr beim Umschlag von Kerosin Jet A-1
Technische Sicherheit
2011
1
18--27
8.41, Flow
HFörster
WGünther
GLindner
RModel
inproceedings
Schmelt2011
Numerical investigation of turbulent natural convection in differentially heated square cavity
2011
1389
106-109
8.41, Flow
AIP Conf. Proc.
S.Schmelter
G.Lindner
G.Wendt
R.Model
article
Model2005b
An identification procedure for thermal transport properties of layered solids by means of transient measurements
Thermal Conductivity 26/Thermal Expansion 14
2005
346--357
8.41, Flow
RModel
UHammerschmidt
article
Model2005
Thermal Transport Properties of Layered Materials: Identification by a New Numerical Algorithm for Transient Measurements
International Journal of Thermophysics
2005
26
1
165--178
8.41
8.41, Flow
http://www.researchgate.net/publication/226424470<prt>\_</prt>Thermal<prt>\_</prt>Transport<prt>\_</prt>Properties<prt>\_</prt>of<prt>\_</prt>Layered<prt>\_</prt>Materials<prt>\_</prt>Identification<prt>\_</prt>by<prt>\_</prt>a<prt>\_</prt>New<prt>\_</prt
0195-928X
10.1007/s10765-005-2363-1
RModel