RBF Morph and ROM · Experiments show a separation at wing/fuselage junction occurring at an AoA of...
Transcript of RBF Morph and ROM · Experiments show a separation at wing/fuselage junction occurring at an AoA of...
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RBF Morph and ROMRBF mesh morphing and reduced order models (ROM) squeeze high
fidelity CAE simulations into real time digital twins
Prof. Marco Evangelos Biancolini – RBF Morph CTO & Company Founder
Dr. Michel Rochette - ANSYS Systems Business Unit - Twin Builder
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A short introduction to RBF Morph
Why RBF+ROM for Digital Twins?
How RBF+ROM with ANSYS?
Two detailed applications
ROM of stresses acting on a turbine blade
ROM of an aneurysm hemodynamics
Conclusions
Outline2
22/05/2019HPC for Industry 4.0@Cineca - Milan
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Parametric CAE models3
RBF Morph makes the CAE model parametric with respect to the shape.
Works for any size of the mesh.
Shape parameters can be steered with the optimizer of choice.
CAE – Computer Aided Engineering
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Experiments show a separation at wing/fuselage junction occurring at an AoA of 8 deg. Fluent simulation can capture the issue.
Taurus glider optimization4
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Our flagship product. Released in 2009, distributed by ANSYS since 2012.
RBF Morph Fluent Add On5
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Taurus glider optimization6
Original design E=14.9 Optimal design E=20.1 (+35%)
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My name is Marco Evangelos Biancolini and we offer…
WHO WE ARE?
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…academic and CAE synergy…
Associate Professor of Machine Design at the University of Rome “Tor Vergata” (UTV)
Thesis and PhD students across Italy and Europe
Students’ project (FSAE, ARION)
Coordinator/WP leader of EC projects (RBF4AERO, Fortissimo, RIBES, Cloudifacturing, MeDiTATe)
Expert of advanced CAE workflow (vertical automations for shape optimization)
Author and owner of RBF MorphTM software
Honorary member of TechnetAlliance since 2013
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HPC for Industry 4.0@Cineca - Milan
Academic CAE business
22/05/2019
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…for better solutions!
Factories Of the Future Resources, Technology, Infrastructure and Services for SImulation and MOdelling
WP515: “Virtual Automatic Rapid Prototyping Based on Fast Morphing on HPC Platforms”
HSL srl, Trento; University of Rome “Tor Vergata”; CINECA
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HPC for Industry 4.0@Cineca - Milan 22/05/2019
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ANSYS integrated solutions
Released in 2009
Fully integrated within Fluent (GUI, TUI & solving stage), Workbench and Adjoint Solver
Multi physics features (FSI)
Released in 2015
Fully embedded in ANSYS Mechanical(parametric)
Benefits of underlying geometry (or aux geo with dead meshes)
…WB Meshing
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Fluent Add On ACT Extension
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Released in 2015. Available also on the ANSYS App Store.
RBF Morph ACT Extension11
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Two parameters allow to get a 22.5% stress reduction
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Blade fillet stress reduction
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New market drivers for mesh morphing
Is emerging as a mainstream technology
Offers a great potential for new complex shapes
Topological and shape optimization allows to have the design driven by the physics (adjoint, BGM)
Mesh morphing allows to adapt on actual manufactured shapes
CAE Up
Mesh morphing is a key enabler for shape parameters in ROM
We are offering this feature starting from ANSYS v19.2
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Additive Manufacturing Digital Twins
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Digital Twin or Virtual Prototyping?
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High fidelity CAE simulations requires HPC and time to be computed
The results of a parametric CAE study can be compressed into a ROM
The ROM delivers the same detail level of the high fidelity simulations in real time
IP stays safe and the ROM can be deployed to create the digital twin (.romz, .fmu)
https://www.ansys.com/blog/how-to-build-reduced-order-model-cfd-simulations
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Why ROM for Digital Twins?
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Shape parameters are often required in a Digital Twin
The ROM of the mesh joined with the ROM of the CAE solution is an effective answer
RBF mesh morphing allows to create the ROM of the mesh
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ROM with shape parameters?
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ACT Extension based workflow
ROM OF STRESSES ACTING
ON A TURBINE BLADE
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ACT Extension based workflow
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The study is focused on the stress at the root fillet
Simplified boundary conditions
Mesh refinement areas
Baseline stress solution
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Problem description
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Problem description
The study is focused on the stress at the root fillet
Simplified boundary conditions
Mesh refinement areas
Baseline stress solution
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Problem description
The study is focused on the stress at the root fillet
Simplified boundary conditions
Mesh refinement areas
Baseline stress solution
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Advanced design approach for a notch
We need to preserve the complex fillet shape
This is achieved by controlling the curve at the beginning (P1)and at the end (P2) of the notch
The fillet geometry is deformed accordingly
The morphing action is propagated to the volume mesh
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ROM of the morphed mesh23
P2
(m
m)
P1 (mm)0 4
-
1
1
Parametric space
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ROM of the morphed mesh24
P2
(m
m)
P1 (mm)0 4
-
1
1
3 learning points
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ROM of the morphed mesh25
P2
(m
m)
P1 (mm)0 4
-
1
1
4 learning points
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ROM of the morphed mesh26
9 learning pointsP2
(m
m)
P1 (mm)0 4
-
1
1
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ROM of the morphed mesh27
P2
(m
m)
P1 (mm)0 4
-
1
1
6 validation points
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ROM of the morphed mesh: Results28
Singular values (SV) Ratio of square sums of SVs = 𝑗=𝑖𝑁 𝑆𝑉𝑗
2
𝑗=𝟏𝑁 𝑆𝑉𝑗
2
1,00E-07
1,00E-06
1,00E-05
1,00E-04
1,00E-03
1,00E-02
1,00E-01
1,00E+00
0 1 2 3 4 5 6 7 8 9
Log
(Ra
tio o
f sq
uare
sum
s of
SV
s)
Number of modes
9 learning points
4 learning points
3 learning points
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ROM of the morphed mesh: Results29
N° learningpoints
𝜺 = max6 𝑣𝑎𝑙.𝑝𝑜𝑖𝑛𝑡𝑠
max𝑎𝑙𝑙 𝑚𝑒𝑠ℎ 𝑛𝑜𝑑𝑒𝑠
dist 𝑿𝑅𝐵𝐹 , 𝑿𝑅𝑂𝑀
3 6.09 ∙ 10−3𝑚𝑚
4 5.66 ∙ 10−3𝑚𝑚
9 3.32 ∙ 10−2𝑚𝑚
P1 ≡ (0; 4) mm
P2 ≡ (-1; 1) mm
Number of modes = 3
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ROM of the maximum principal stress30
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ROM of the maximum principal stress: Results31
Singular values (SV) Ratio of square sums of SVs = 𝑗=𝑖𝑁 𝑆𝑉𝑗
2
𝑗=𝟏𝑁 𝑆𝑉𝑗
2
1,00E-04
1,00E-03
1,00E-02
1,00E-01
1,00E+00
0 1 2 3 4 5 6 7 8 9
Log
(Ra
tio o
f sq
uare
sum
s of
SV
s)
Number of modes
9 learning points
4 learning points
3 learning points
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ROM of the maximum principal stress: Results32
N° learningpoints
𝜺 = max6 𝑣𝑎𝑙.𝑝𝑜𝑖𝑛𝑡𝑠
max𝑎𝑙𝑙 𝑚𝑒𝑠ℎ 𝑛𝑜𝑑𝑒𝑠
𝜎𝑹𝑩𝑭 − 𝜎𝑅𝑂𝑀 𝟐
3 14.669 MPa
4 6.230 MPa
9 4.253 MPa
Order of magnitude of Maximum principal stress Maximum: 102 MPa
𝝈𝑅𝐵𝐹−𝝈𝑅𝑂𝑀 2
𝝈𝑅𝐵𝐹 2< 1%
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Fluent Add On based workflow
ROM OF AN ANEURYSM
HEMODYNAMICS
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Medical digital twin
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Parametric shape of the bulge
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5 shape parameters: 40 snapshots in the design space
5 orthogonal modes extracted
Error with respect to 10 modes below 1%
Each DP requires 30 mins on a 128 GB, 20 cores Intel Xeon
A grow of the bulge is inspected acting on the shape parameters
Max error registered (ROM vs. full) 2.5%
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Bulge evolution predicted using ROM
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Conclusions37
RBF Morph is an advanced mesh morphing technology based on Radial Basis Functions
A shape parametric mesh is obtained. Parameters can be steered using standard optimization tools
The strong integration with ANSYS products allows to create ROM accounting for shape effect
A real time interaction with ROM is feasible using the ROM of the mesh combined with the ROM of the CAE solution
The integration with ANSYS Twin Builder has been demonstrated with two detailed examples
Shape parametric digital twins can be deployed (.romz, .fmu)
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Many thanks for your kind
attention!
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twitter.com/RBFMorph
linkedin.com/company/rbf-morph
youtube.com/user/RbfMorph
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