38th   International CAE Conference

2022, November 16-18

RBF Morph symposium

RBF Morph

RBF Metamorphosis: a new way to optimize digital twins and multi-physics simulation

16 November | 16.00 - 18.00

Online symposium

Attendance: free, upon registration

Language: English

Speaker: Marco E. Biancolini (RBF Morph), Marcel Schubert (Cummins), Claudio Ponzo (Nissan), Emanuele Di Meo (RINA), Elisa Serioli (Dallara), Ubaldo Cella (RBF Morph), Viola Rossano (Leonardo), Andrea Lopez (Univ. Tor Vergata), Emiliano Costa (RINA)

Review the recorded symposium!

We are in the middle of a digital revolution. Virtual prototyping through high fidelity CAE is standard. Design exploration allows to scan multiple configurations to achieve quickly an optimal design. Thanks to the wide adoption of additive manufacturing today more efficient parts can be designed through freeform shape optimization. We are now moving fast into the digital twin domain and here CAE is essential. The accurate and versatile shape control granted by RBF Morph technology is emerging as a key enabler for shape parameterization and reduced order models creation, the numerical engine of the digital twin. CAE tools are well established and trusted, the metamorphosis is in the way we are adopting them in order to leverage new technologies: advanced multi-physics, shape optimization, twinning of a design workflow or, with the same tools, of pediatric surgery.

RBF Morph

Agenda

16:00 Introduction: Overview of our RBF Morph Solutions
Marco E. Biancolini (RBF Morph)
16:10 Cylinder Head FEA Shape Optimisation with RBF Morph - Cummins
Marcel Schubert (Cummins)

FEA and Fatigue Analysis has been carried out as part of the iterative design process of an internal combustion engine cylinder head. The RBF Morph Biological Growth Method has been employed successfully to help provide enhanced design recommendations, reducing the number of design iterations and speeding up the design process

16:30 FEA shape optimization of a Nissan Micra front subframe - Nissan
Claudio Ponzo (Nissan), Emanuele Di Meo (RINA)

The structural optimization of the front chassis and suspension lower arms of a Nissan Micra was performed. The objective of the optimization was an increase of driving comfort, achieved by controlling the lateral stiffness acting on thickness and shape variation of subframe elements.

16:50 Two-way coupled aeroelastic analysis of a Dallara Le Mans Prototype car - Dallara
Elisa Serioli (Dallara), Ubaldo Cella (RBF Morph)

The set-up and the solutions of a 2-way aeroelastic analysis of the front wing splitter mounted on a Le Mans Dallara car prototype is described. The aerodynamic performances are finely captured thanks to the coupling of the CFD analysis to the FEM model.

17:10 An efficient optimization of air intake based on machine learning and mesh morphing - Leonardo
Viola Rossano (Leonardo), Andrea Lopez (Univ. Tor Vergata)

Leonardo is creating a digital design and validation environment for the optimisation of a hybrid aircraft. In particular, this activity is focused on the generation of a digital twin from numerical simulations and high fidelity models of a Naca air intake.

17:30 The digital twin and the future of pediatric surgery - RINA
Emiliano Costa (RINA)

Learn how surgical planning for the complex mBTS clinical procedure can be assisted by Medical Digital Twin. Thanks to HPC, advanced CAE and mesh morphing an interactive twin ready to be manipulated by the surgeon can be produced in less than 9 hours.

Ansys
BLOM Maritime
Chronos – HPC library
Deeplabs
E4
EnginSoft
ESTECO
FEMFAT
Flownex
HSH
Magma
MathWorks
NAFEMS
Parametric Design
Particleworks Europe
PASS
RBF Morph
RecurDyn
SATE
SDC Verifier
Sigmetrix