Compressible CFD

ONERA M6 Transonic Compressible Flow

Adjust angle of attack under the fixed Mach 0.8395 steady-Euler condition to predict eight compressible-flow fields on the ONERA M6 wing surface.

Published scope

The inputs, geometry and outputs below follow the registered public case. Published verification applies only to the stated conditions. Service availability requires a live request.

Direct Parametric MLP

The ONERA M6 swept wing develops shocks and strong surface-pressure changes in transonic flow. This case retains 18,285 nodes and 36,454 triangles from the original SU2 surface mesh.

At a fixed Mach number of 0.8395, adjust angle of attack from 2 to 4 degrees to predict three velocity components, pressure, density, temperature, specific total energy and Mach number. The frozen model passed its per-field independent comparison at 3.25 degrees.

Geometry
ONERA M6 transonic swept wing
Geometry scope
same_geometry_and_fixed_mach_0.8395_only
Fixed conditions
mach_number: 0.8395; flow_model: steady Euler

Adjustable inputs

InputRangeDefault
Angle of attack2.0 – 4.0 deg3.25

Output fields

Registered verification

registered_status
passed
summary
The frozen model passed the pre-registered independent 3.25 degree SU2 comparison.
registered_parameters
angle_of_attack_deg: 3.25
registered_reference
Native Windows SU2 8.5.0 independent ONERA M6 surface solution
point_count
18285
holdout_metrics
velocity_x: mae: 0.9746643590991932; rmse: 1.292939066239348; relative_l2: 0.0053005205972475366; range_normalized_rmse: 0.0027895310222605853; max_abs: 10.176070054106333; correlation: 0.9999206465683392; reference_min: 0.17926547661318787; reference_max: 463.6761959361188; prediction_min: 0.175987115335; prediction_max: 462.527579857; velocity_y: mae: 0.7043420158612954; rmse: 0.9300343920918642; relative_l2: 0.01326942951987745; range_normalized_rmse: 0.0022724956368347627; max_abs: 12.507262152163321; correlation: 0.999886621660547; reference_min: -169.4968607932577; reference_max: 239.75998309985502; prediction_min: -168.497429799; prediction_max: 239.786596336; velocity_z: mae: 0.8296581740543367; rmse: 1.1220821865544064; relative_l2: 0.01267234757895804; range_normalized_rmse: 0.00276737456241268; max_abs: 8.465933969465283; correlation: 0.99991145670913; reference_min: -135.19606977979288; reference_max: 270.27205939753884; prediction_min: -132.545056879; prediction_max: 265.372355974; pressure: mae: 245.6675997920864; rmse: 326.4453599886391; relative_l2: 0.0029283911514046547; range_normalized_rmse: 0.0025117100074177998; max_abs: 3263.5043578183977; correlation: 0.9999314949267718; reference_min: 35958.97773047992; reference_max: 165928.3448248309; prediction_min: 36064.6273279; prediction_max: 165449.642499; density: mae: 0.002540683274583874; rmse: 0.0034244207505282074; relative_l2: 0.002644968807897017; range_normalized_rmse: 0.002599007376134294; max_abs: 0.033970884270003054; correlation: 0.9998986064602018; reference_min: 0.5733713502158803; reference_max: 1.8909592808902498; prediction_min: 0.575187536471; prediction_max: 1.88359741414; temperature: mae: 0.19275469747902405; rmse: 0.26490753207482687; relative_l2: 0.0009022906354349215; range_normalized_rmse: 0.0024019208165639645; max_abs: 3.497651168844669; correlation: 0.9999301392655011; reference_min: 218.47496638298034; reference_max: 328.7648353278637; prediction_min: 218.589251207; prediction_max: 329.050416086; total_energy: mae: 54.95085961133572; rmse: 75.84594747064733; relative_l2: 0.0003078962245491215; range_normalized_rmse: 0.002395670426440901; max_abs: 1021.4383548679762; correlation: 0.9999300401417538; reference_min: 235937.35506150228; reference_max: 267596.94672884484; prediction_min: 235750.075427; prediction_max: 267570.682845; mach_number: mae: 0.002539548796358694; rmse: 0.003423195840936459; relative_l2: 0.004255678411664148; range_normalized_rmse: 0.0021597773452648014; max_abs: 0.036471446791670026; correlation: 0.999924168004333; reference_min: 0.003767178161069751; reference_max: 1.5887434482574463; prediction_min: 0.0304015263209; prediction_max: 1.58801662968

Recorded workflow evidence

Project opening
PASS
Save and reopen
PASS
Training
NOT_RUN
Prediction
NOT_RUN
Independent accuracy
NOT_RUN
Portable validation
NOT_RUN

These are recorded checks; they do not establish live service availability or accuracy for every new request.

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