Industrial optimal design using adjoint CFD

Risultati finali

Programming in ParaView, delivered by associate partner Kitware

Computational Geometry, CAD systems, mesh morphing, return to CAD.

Transferable and complementary skills I: communication, project management, presentation and paper writing skills, outreach.

Training 9: parametrisation

Parametrisation in shape optimisation, topology to shape transition, return to CAD

Training 1: Introduction to Adjoint Optimisation

Training workshop 1: Introduction to adjoint optimisation (Final About Flow Conference)

Training 6: Industrial application

Industrial application in turbo-machinery, automotive and general industrial design.

Servers online

D8.1 (M6): Web-server and file-server online

Final conference
Training 10: High Performance Computing

High Performance Computing

Mid-term workshop

Mid-term workshop with outside participation.

Training 7: AD

Automatic Differentiation, in conjunction with Euro AD workshop,

Training 4: adjoint solvers

Adjoint solvers: continuous vs discrete, recent advances and remaining challenges, applications beyond optimisation

Draft Periodic report

Draft Periodic Report (for the purpose of the mid-term review meeting) – due date month 24

TN-based SQP for constraint handling

Report on truncated Newton-based SQP algorithms for handling constraints (ESR 8),

Progress Report
Final version of IODA-API standard

Final version of specification of IODA API plugin standard.

Plugin API

Draft specification of IODA API plugin standard.

Report on industrial test cases

Industrial test cases report (ESR 5)

Differentiated, reduced OCCT

AD software component in reduced-kernel OCCT, source code (ESR 9)

Differentiated OCCT with extended kernel

D4.6 (M18): Differentiated OCCT with extended kernel, application to industrial problem, (ESR 2+ 12)

Differentiated reduced OCCT

D4.2 (M12): Demonstration of differentiated reduced OCCT, (ESR2)

Improved differentiation of OCCT

Adapted differentiated version of Open Cascade for improved efficiency, (ESR 12)

Parametric engine for OCCT

Parametric engine addressing shape optimisation, Source code (ESR 9)

Differentiated OCCT into workflow

Integration of differentiated OCCT into workflows, demonstration on RRD robustness cases, (ESR3, ESR12)

Training 8: transferable skills II

Transferable and complementary skills II: thesis writing skills, career planning and job search, outreach.

Pubblicazioni

Optimization of the LS89 Axial Turbine Profile Using a CAD and Adjoint Based Approach †

Autori: Ismael Sanchez Torreguitart, Tom Verstraete, Lasse Mueller
Pubblicato in: International Journal of Turbomachinery, Propulsion and Power, Numero 3/3, 2018, Pagina/e 20, ISSN 2504-186X
Editore: International Journal of Turbomachinery, Propulsion and Power 2018
DOI: 10.3390/ijtpp3030020

Transition from Adjoint Level Set Topology to Shape Optimization for 2D Fluid Mechanics

Autori: Koch, J.R.L.; Papoutsis-Kiachagias, E.M.; Giannakoglou, K.C.
Pubblicato in: Journal of Computers and Fluids, Numero 1, 2017, Pagina/e 123-138, ISSN 0045-7930
Editore: Pergamon Press Ltd.
DOI: 10.5281/zenodo.582625

NURBS-based and parametric-based shape optimization with differentiated CAD kernel

Autori: Orest Mykhaskiv, Mladen Banović, Salvatore Auriemma, Pavanakumar Mohanamuraly, Andrea Walther, Herve Legrand, Jens-Dominik Müller
Pubblicato in: Computer-Aided Design and Applications, Numero 15/6, 2018, Pagina/e 916-926, ISSN 1686-4360
Editore: Computer Aided Design Solutions
DOI: 10.1080/16864360.2018.1462881

Wing-body junction optimisation with CAD-based parametrisation including a moving intersection

Autori: Shenren Xu, Sebastian Timme, Orest Mykhaskiv, Jens-Dominik Müller
Pubblicato in: Aerospace Science and Technology, Numero 68, 2017, Pagina/e 543-551, ISSN 1270-9638
Editore: Elsevier BV
DOI: 10.1016/j.ast.2017.06.014

Enhancing CAD-based shape optimisation by automatically updating the CAD model’s parameterisation

Autori: Dheeraj Agarwal, Trevor T. Robinson, Cecil G. Armstrong, Christos Kapellos
Pubblicato in: Structural and Multidisciplinary Optimization, 2018, Pagina/e 1-16, ISSN 1615-147X
Editore: Springer Verlag
DOI: 10.1007/s00158-018-2152-7

A two–step radial basis function-based CFD mesh displacement tool

Autori: Flavio Gagliardi, Kyriakos C. Giannakoglou
Pubblicato in: Advances in Engineering Software, Numero 128, 2019, Pagina/e 86-97, ISSN 0965-9978
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.advengsoft.2018.11.011

The adjoint method for automotive optimisation using a sphericity based morpher

Autori: Pavlos Alexias, Chris Kapellos and Eugene de Villiers
Pubblicato in: NAFEMS Adjoint CFD Seminar, 2016
Editore: NAFEMS
DOI: 10.5281/zenodo.1421720

Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods

Autori: Agarwal, Dheeraj; Marques, Simao; Robinson, Trevor; Armstrong, Cecil; Hewitt, Philip
Pubblicato in: Agarwal , D , Marques , S , Robinson , T , Armstrong , C & Hewitt , P 2017 , Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods . in 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum: Proceedings . AIAA Aviation Forum . DOI: 10.2514/6.2017-3999, Numero 1, 2017
Editore: AIAA
DOI: 10.5281/zenodo.815469

Linking Parametric CAD with Adjoint Surface Sensitivities

Autori: Vasilopoulos I., Agarwal D., Meyer M., Robinson T.T., Armstrong C.G.,
Pubblicato in: VII European Congress on Computational Methods and Applied Sciences, Numero Annual, 2016
Editore: ECCOMAS
DOI: 10.5281/zenodo.321873

Towards Multidisciplinary Adjoint Optimization of Turbomachinery Components

Autori: Schwalbach, Marc; Verstraete, Tom
Pubblicato in: VII European Congress on Computational Methods in Applied Sciences and Engineering, Numero Annual, 2016
Editore: ECCOMAS
DOI: 10.5281/zenodo.322871

CAD based parameterization and constraints for Adjoint optimization

Autori: Damigos, Marios, deVilliers, Eugene; Geremia, Paolo
Pubblicato in: VII European Congress on Computational Methods in Applied Sciences and Engineering, Numero annual, 2016
Editore: ECCOMAS
DOI: 10.5281/zenodo.322869

Automatic Differentiation of a CAD system applied in an Adjoint CFD Method

Autori: Banovic, Mladen; Mykhaskiv, Orest; Auriemma, Salvatore; Walther, Andrea; Jens-Dominik Müller; Legrand, Hervé
Pubblicato in: AD 2016 7th International Conference on Algorithmic Differentiation, Numero Annual, 2016
Editore: autodiff
DOI: 10.5281/zenodo.322879

Transition from 2D Continuous Adjoint Level Set Topology to Shape Optimization

Autori: J.R.L.Koch, E.M.Papoutsis-Kiachagias, K.C.Giannakoglou
Pubblicato in: VII European Congress on Computational Methods in Applied Sciences and Engineering, Numero Annual, 2016
Editore: ECCOMAS
DOI: 10.5281/zenodo.322909

Aerodynamic optimization using Adjoint methods and parametric CAD models

Autori: P. Hewitt S. Marques T. Robinson D. Agarwal
Pubblicato in: VII European Congress on Computational Methos in Applied Sciences and Engineering, Numero Annual, 2016
Editore: ECCOMAS
DOI: 10.5281/zenodo.2659089

Optimisation of a U-bend using a CAD-based adjoint method with differentiated CAD kernel

Autori: Salvatore Auriemma Mladen Banovic Orest Mykhaskiv Herve Legrand Jens-Dominik Mueller Tom Verstraete Andrea Walther
Pubblicato in: VII European Congress on Computational Methods in Applied Sciences and Engineering, Numero Bi-annual, 2016
Editore: Eccomas Congress 2016
DOI: 10.5281/zenodo.1421284

Aerodynamic Optimization of the TurboLab Stator: A Comparative Study between Conventional and Adjoint-based Approaches

Autori: Ilias Vasilopoulos Peter Flassig Marcus Meyer Kyra Reiche
Pubblicato in: International Conference on Numerical Optimisation Methods for Engineering Design, Numero Bi-annual, 2016
Editore: NOED
DOI: 10.5281/zenodo.321663

SHAPE OPTIMIZATION OF TURBOMACHINERY ROWS USING A PARAMETRIC BLADE MODELLER AND THE CONTINUOUS ADJOINT METHOD RUNNING ON GPUS

Autori: K. T. Tsiakas F. Gagliardi S. Trompoukis K. C. Giannakoglou
Pubblicato in: VII European Congress on Computational Methods in Applied Sciences and Engineering, Numero Annual, 2016
Editore: ECCOMAS
DOI: 10.5281/zenodo.343886

CAD-free based parameterization and constraints for Adjoint optimization

Autori: Athanasios G. Liatsikouras, ESI Software Germany GmbH & National Technical University of Athens George S. Eleftheriou, ESI Group & National Technical University of Athens Guillaume Pierrot, ESI Group Mustafa Megahed, ESI Software Germany GmbH & Center of Excellence – CFD & Multiphysics
Pubblicato in: VII European Congress on Computational Methods in Applied Sciences and Engineering, Numero Annual, 2016
Editore: VII European Congress on Computational Methods in Applied Sciences and Engineering
DOI: 10.5281/zenodo.343879

Parametric CAD model based shape optimization using adjoint functions

Autori: Dheeraj Agarwal Christos Kapellos Trevor T. Robinson Cecil. G. Armstrong
Pubblicato in: International Conference on Numerical Optimisation Methods for Engineering Design, Numero Annual, 2016
Editore: NOED2016
DOI: 10.5281/zenodo.343894

A CONTINUOUS ADJOINT APPROACH FOR VEHICLE INTERIOR NOISE REDUCTION

Autori: Christos Kapellos Michael Hartmann
Pubblicato in: ECCOMAS, Numero Annual, 2016
Editore: ECCOMAS
DOI: 10.5281/zenodo.343911

Applications of differentiated CAD kernel in gradient-based aerodynamic shape optimisation

Autori: Salvatore Auriemma
Pubblicato in: 2018 Joint Propulsion Conference, 2018, ISBN 978-1-62410-570-8
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2018-4828

CAD Kernel and Grid Generation Algorithmic Differentiation for Turbomachinery Adjoint Optimization

Autori: Torreguitart, Ismael Sanchez; Verstraete, Tom; Mueller, Lasse
Pubblicato in: European Congress on Computational Methods in Applied Sciences and Engineering, Numero 2, 2016
Editore: ECCOMAS
DOI: 10.5281/zenodo.322903

Designing low-emission aero engines using adjoint methods

Autori: D.Agarwal I. Vasilopoulos T.T. Robinson M. Meyer C.G. Armstrong
Pubblicato in: 4th UK-Japan Engineering Education League workshop, Numero Annual, 2016
Editore: UK-Japan Engineering Education League
DOI: 10.5281/zenodo.343898

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