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Data-driven Roughness Estimation for Glaze Ice Accretion Simulation
Kevin Ignatowicz
,
François Morency
, Héloïse Beaugendre
École de technologie supérieure
Aerospatial Engineering Department
TFT - Thermofluid Transport Laboratory
École de technologie supérieure
CNRS
Research output
:
Contribution to journal
›
Conference article
›
peer-review
2
Citations (Scopus)
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Keyphrases
Aircraft Development
16%
Airflow
16%
Airfoil
33%
Bayesian Calibration
16%
Bayesian Inversion
16%
Calibration Device
16%
Chord Length
16%
Computational Fluid Dynamics
50%
Computational Fluid Dynamics Modeling
16%
Convective Heat Loss
16%
Data-driven Approach
16%
Droplet Phase
16%
Dynamic Test
16%
Energy Balance
33%
Glaze Ice
33%
Glaze Ice Accretion
100%
Ice Accretion
100%
Ice Accretion Model
100%
Ice Conditions
33%
Ice Shape
33%
Ice Shape Prediction
16%
Mass Balance
16%
Metamodel
33%
Pattern Calibration
16%
Pattern Estimation
16%
Phase Change
16%
Polynomial Chaos Expansion
16%
Root Mean Square Error
50%
Roughness Measurement
100%
Roughness Pattern
83%
Runback Water
16%
Solid Ice
16%
Surface Roughness Distribution
16%
Two-equation Model
16%
Water Droplet Impingement
16%
Earth and Planetary Sciences
Air Flow
25%
Airfoil
50%
Dynamic Model
25%
Dynamic Test
25%
Energy Balance
50%
Fluid Dynamics
100%
Root-Mean-Square Error
75%
Surface Roughness
25%
Engineering
Air Flow
14%
Airfoil
28%
Chord Length
14%
Computational Fluid Dynamics
57%
Convective
14%
Dynamic Model
14%
Dynamic Test
14%
Equation Model
14%
Experimental Investigation
14%
Heat Loss
14%
Ice Accretion
100%
Icing Condition
14%
Mass Balance
14%
Root Mean Square Error
42%