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IODA

Industrial optimal design using adjoint CFD

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

IODA project word cloud

Explore the words cloud of the IODA project. It provides you a very rough idea of what is the project "IODA" about.

shape parametrisation climate dynamics defines flexible aboutflow numerical exploring supplied from computational members modification free fluid extract arbitrary fit steady flowhead ways fp7 specified cad constraints mid return optimisation automatic vehicle ranging parametrisations interfaces quantify gradient optimum adaptively interpretation ducts flows core efficient unsteady cfd expert size bottlenecks complete spaces limited form shapes space realistic optimising industrial interesting algorithm solvers integration impairs refine imposition ec adjoint develops manual topology model

Project "IODA" data sheet

The following table provides information about the project.

Coordinator	QUEEN MARY UNIVERSITY OF LONDON Organization address address: 327 MILE END ROAD city: LONDON postcode: E1 4NS website: http://www.qmul.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Project website	http://ioda.sems.qmul.ac.uk/
Total cost	3˙854˙909 €
EC max contribution	3˙854˙909 € (100%)
Programme	1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
Code Call	H2020-MSCA-ITN-2014
Funding Scheme	MSCA-ITN-ETN
Starting year	2015
Duration (year-month-day)	from 2015-01-01 to 2018-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	QUEEN MARY UNIVERSITY OF LONDON QUEEN MARY UNIVERSITY OF LONDON Organization address address: 327 MILE END ROAD city: LONDON postcode: E1 4NS website: http://www.qmul.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LONDON)	coordinator	819˙863.00
2	ENGYS SRL ENGYS SRL Organization address address: STRADA PER VIENNA 9 city: TRIESTE postcode: 34151 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (TRIESTE)	participant	516˙122.00
3	INSTITUT VON KARMAN DE DYNAMIQUE DES FLUIDES INSTITUT VON KARMAN DE DYNAMIQUE DES FLUIDES Organization address address: CHAUSSEE DE WATERLOO 72 city: RHODE SAINT GENESE postcode: 1640 website: www.vki.ac.be contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	BE (RHODE SAINT GENESE)	participant	501˙120.00
4	NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA Organization address address: HEROON POLYTECHNIOU 9 ZOGRAPHOU CAMPUS city: ATHINA postcode: 15780 website: www.ntua.gr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	EL (ATHINA)	participant	484˙773.00
5	THE QUEEN'S UNIVERSITY OF BELFAST THE QUEEN'S UNIVERSITY OF BELFAST Organization address address: UNIVERSITY ROAD LANYON BUILDING city: BELFAST postcode: BT7 1NN website: www.qub.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (BELFAST)	participant	273˙287.00
6	OPEN CASCADE OPEN CASCADE Organization address address: 1 PLACE DES FRERES MONTGOLFIER city: GUYANCOURT postcode: 78280 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (GUYANCOURT)	participant	262˙875.00
7	ESI SOFTWARE GERMANY GMBH ESI SOFTWARE GERMANY GMBH Organization address address: JURASTRASSE 8 city: STUTTGART postcode: 70565 website: www.icido.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (STUTTGART)	participant	249˙216.00
8	ROLLS-ROYCE DEUTSCHLAND LTD & CO KG ROLLS-ROYCE DEUTSCHLAND LTD & CO KG Organization address address: Eschenweg 11 city: BLANKENFELDE-MAHLOW postcode: 15827 website: www.rolls-royce.com/deutschland contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (BLANKENFELDE-MAHLOW)	participant	249˙216.00
9	UNIVERSITAET PADERBORN UNIVERSITAET PADERBORN Organization address address: WARBURGER STRASSE 100 city: PADERBORN postcode: 33098 website: www.uni-paderborn.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (PADERBORN)	participant	249˙216.00
10	VOLKSWAGEN AG VOLKSWAGEN AG Organization address address: BERLINER RING 2 city: WOLFSBURG postcode: 38440 website: www.volkswagen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (WOLFSBURG)	participant	249˙216.00

Map

Project objective

Adjoint-based methods have become the most interesting approach in numerical optimisation using Computational Fluid Dynamics (CFD) due to their low computational cost compared to other approaches. The development of adjoint solvers has seen significant research interest, and a number of EC projects have been funded on adjoint-based optimisation. In particular, partners of this proposal are members of the EC FP7 projects FlowHead and AboutFlow which develops complete adjoint-based design methods for steady-state and unsteady flows in industrial design.

Two related bottlenecks of applying goal-based optimisation in CFD are addressed here a) the efficient but flexible and automatic parametrisation of arbitrary shapes, and b) the imposition of design constraints.

Parametrisation is at the core of optimisation, it defines the design space that the optimising algorithm is exploring. A range of parametrisations will be developed in the project, ranging from simple CAD-free methods with rich design spaces to CAD-based methods that return the optimised shape in CAD form. Integration of the currently available shape and topology modification approaches with the gradient-based optimisation approach will be addressed, in particular development of interfaces to return optimised CAD-free shapes into CAD for further design and analysis, an aspect that currently requires manual interpretation by an expert user.

Constraints are at the core of industrial design, e.g. an optimised climate ducts for a vehicle needs to fit into the available build space. The project will develop efficient ways to extract constraints specified in the CAD model and apply them to CAD-free parametrisations. Methods will be developed to quantify how much the limited design space impairs the optimum and then to adaptively refine it.

The results of the project will be applied to realistic mid-size and large-scale industrial optimisation problems supplied by the industrial project partners ranging from

Deliverables

List of deliverables.
Plugin API	Documents, reports	2020-01-27 12:20:46
Final version of IODA-API standard	Documents, reports	2020-01-27 12:20:44
TN-based SQP for constraint handling	Documents, reports	2020-01-27 12:20:46
Improved differentiation of OCCT	Demonstrators, pilots, prototypes	2020-01-27 12:20:44
Training 9: parametrisation	Websites, patent fillings, videos etc.	2020-01-27 12:20:45
Differentiated OCCT into workflow	Demonstrators, pilots, prototypes	2020-01-27 12:20:45
Report on industrial test cases	Documents, reports	2020-01-27 12:20:46
Training 10: High Performance Computing	Websites, patent fillings, videos etc.	2020-01-27 12:20:45
Final conference	Websites, patent fillings, videos etc.	2020-01-27 12:20:44
Training 8: transferable skills II	Other	2020-01-27 12:20:44
Training 6: Industrial application	Websites, patent fillings, videos etc.	2020-01-27 12:20:42
Training 1: Introduction to Adjoint Optimisation	Websites, patent fillings, videos etc.	2020-01-27 12:20:42
Training 3: transferable skills I	Websites, patent fillings, videos etc.	2020-01-27 12:20:42
Mid-term workshop	Websites, patent fillings, videos etc.	2020-01-27 12:20:42
Training 5: Paraview programming	Websites, patent fillings, videos etc.	2020-01-27 12:20:42
Differentiated, reduced OCCT	Demonstrators, pilots, prototypes	2020-01-27 12:20:41
Progress Report	Documents, reports	2020-01-27 12:20:41
Draft Periodic report	Documents, reports	2020-01-27 12:20:42
Training 2: Computational Geometry	Websites, patent fillings, videos etc.	2020-01-27 12:20:43
Parametric engine for OCCT	Demonstrators, pilots, prototypes	2020-01-27 12:20:42
Servers online	Websites, patent fillings, videos etc.	2020-01-27 12:20:41
Differentiated reduced OCCT	Demonstrators, pilots, prototypes	2020-01-27 12:20:41
Differentiated OCCT with extended kernel	Demonstrators, pilots, prototypes	2020-01-27 12:20:42
Training 4: adjoint solvers	Websites, patent fillings, videos etc.	2020-01-27 12:20:42
Training 7: AD	Websites, patent fillings, videos etc.	2020-01-27 12:20:42

Take a look to the deliverables list in detail: detailed list of IODA deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2018	Orest Mykhaskiv, Mladen BanoviÄ‡, Salvatore Auriemma, Pavanakumar Mohanamuraly, Andrea Walther, Herve Legrand, Jens-Dominik MÃ¼ller NURBS-based and parametric-based shape optimization with differentiated CAD kernel published pages: 916-926, ISSN: 1686-4360, DOI: 10.1080/16864360.2018.1462881	Computer-Aided Design and Applications 15/6	2020-01-27
2016	Pavlos Alexias, Chris Kapellos and Eugene de Villiers The adjoint method for automotive optimisation using a sphericity based morpher published pages: , ISSN: , DOI: 10.5281/zenodo.1421720	NAFEMS Adjoint CFD Seminar	2020-01-27
2018	Ismael Sanchez Torreguitart, Tom Verstraete, Lasse Mueller Optimization of the LS89 Axial Turbine Profile Using a CAD and Adjoint Based Approach â€ published pages: 20, ISSN: 2504-186X, DOI: 10.3390/ijtpp3030020	International Journal of Turbomachinery, Propulsion and Power 3/3	2020-01-27
2016	Torreguitart, Ismael Sanchez; Verstraete, Tom; Mueller, Lasse CAD Kernel and Grid Generation Algorithmic Differentiation for Turbomachinery Adjoint Optimization published pages: , ISSN: , DOI: 10.5281/zenodo.322903	European Congress on Computational Methods in Applied Sciences and Engineering 2	2020-01-27
2017	Koch, J.R.L.; Papoutsis-Kiachagias, E.M.; Giannakoglou, K.C. Transition from Adjoint Level Set Topology to Shape Optimization for 2D Fluid Mechanics published pages: 123-138, ISSN: 0045-7930, DOI: 10.5281/zenodo.582625	Journal of Computers and Fluids 1	2020-01-27
2017	Shenren Xu, Sebastian Timme, Orest Mykhaskiv, Jens-Dominik MÃ¼ller Wing-body junction optimisation with CAD-based parametrisation including a moving intersection published pages: 543-551, ISSN: 1270-9638, DOI: 10.1016/j.ast.2017.06.014	Aerospace Science and Technology 68	2020-01-27
2017	Agarwal, Dheeraj; Marques, Simao; Robinson, Trevor; Armstrong, Cecil; Hewitt, Philip Aerodynamic Shape Optimization Using Feature based CAD Systems and Adjoint Methods published pages: , ISSN: , DOI: 10.5281/zenodo.815469	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 1	2020-01-27
2017	Tom Verstraete, Lasse MÃ¼ller, Jens-Dominik MÃ¼ller Adjoint-Based Design Optimisation of an Internal Cooling Channel U-Bend for Minimised Pressure Losses published pages: 10, ISSN: 2504-186X, DOI: 10.3390/ijtpp2020010	International Journal of Turbomachinery, Propulsion and Power 2/2	2020-01-27
2019	Flavio Gagliardi, Kyriakos C. Giannakoglou A twoâ€“step radial basis function-based CFD mesh displacement tool published pages: 86-97, ISSN: 0965-9978, DOI: 10.1016/j.advengsoft.2018.11.011	Advances in Engineering Software 128	2020-01-27
2018	Dheeraj Agarwal, Trevor T. Robinson, Cecil G. Armstrong, Christos Kapellos Enhancing CAD-based shape optimisation by automatically updating the CAD modelâ€™s parameterisation published pages: 1-16, ISSN: 1615-147X, DOI: 10.1007/s00158-018-2152-7	Structural and Multidisciplinary Optimization	2020-01-27
2016	Dheeraj Agarwal Christos Kapellos Trevor T. Robinson Cecil. G. Armstrong Parametric CAD model based shape optimization using adjoint functions published pages: , ISSN: , DOI: 10.5281/zenodo.343894	International Conference on Numerical Optimisation Methods for Engineering Design Annual	2020-01-27
2016	Damigos, Marios, deVilliers, Eugene; Geremia, Paolo CAD based parameterization and constraints for Adjoint optimization published pages: , ISSN: , DOI: 10.5281/zenodo.322869	VII European Congress on Computational Methods in Applied Sciences and Engineering annual	2020-01-27
2016	Schwalbach, Marc; Verstraete, Tom Towards Multidisciplinary Adjoint Optimization of Turbomachinery Components published pages: , ISSN: , DOI: 10.5281/zenodo.322871	VII European Congress on Computational Methods in Applied Sciences and Engineering Annual	2020-01-27
2016	Ilias Vasilopoulos Peter Flassig Marcus Meyer Kyra Reiche Aerodynamic Optimization of the TurboLab Stator: A Comparative Study between Conventional and Adjoint-based Approaches published pages: , ISSN: , DOI: 10.5281/zenodo.321663	International Conference on Numerical Optimisation Methods for Engineering Design Bi-annual	2020-01-27
2016	J.R.L.Koch, E.M.Papoutsis-Kiachagias, K.C.Giannakoglou Transition from 2D Continuous Adjoint Level Set Topology to Shape Optimization published pages: , ISSN: , DOI: 10.5281/zenodo.322909	VII European Congress on Computational Methods in Applied Sciences and Engineering Annual	2020-01-27
2016	Banovic, Mladen; Mykhaskiv, Orest; Auriemma, Salvatore; Walther, Andrea; Jens-Dominik MÃ¼ller; Legrand, HervÃ© Automatic Differentiation of a CAD system applied in an Adjoint CFD Method published pages: , ISSN: , DOI: 10.5281/zenodo.322879	AD 2016 7th International Conference on Algorithmic Differentiation Annual	2020-01-27
2016	Christos Kapellos Michael Hartmann A CONTINUOUS ADJOINT APPROACH FOR VEHICLE INTERIOR NOISE REDUCTION published pages: , ISSN: , DOI: 10.5281/zenodo.343911	ECCOMAS Annual	2020-01-27
2016	D.Agarwal I. Vasilopoulos T.T. Robinson M. Meyer C.G. Armstrong Designing low-emission aero engines using adjoint methods published pages: , ISSN: , DOI: 10.5281/zenodo.343898	4th UK-Japan Engineering Education League workshop Annual	2020-01-27
2016	Vasilopoulos I., Agarwal D., Meyer M., Robinson T.T., Armstrong C.G., Linking Parametric CAD with Adjoint Surface Sensitivities published pages: , ISSN: , DOI: 10.5281/zenodo.321873	VII European Congress on Computational Methods and Applied Sciences Annual	2020-01-27
2016	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 â€“ CFD & Multiphysics CAD-free based parameterization and constraints for Adjoint optimization published pages: , ISSN: , DOI: 10.5281/zenodo.343879	VII European Congress on Computational Methods in Applied Sciences and Engineering Annual	2020-01-27
2016	Salvatore Auriemma Mladen Banovic Orest Mykhaskiv Herve Legrand Jens-Dominik Mueller Tom Verstraete Andrea Walther Optimisation of a U-bend using a CAD-based adjoint method with differentiated CAD kernel published pages: , ISSN: , DOI: 10.5281/zenodo.1421284	VII European Congress on Computational Methods in Applied Sciences and Engineering Bi-annual	2020-01-27
2016	P. Hewitt S. Marques T. Robinson D. Agarwal Aerodynamic optimization using Adjoint methods and parametric CAD models published pages: , ISSN: , DOI: 10.5281/zenodo.2659089	VII European Congress on Computational Methos in Applied Sciences and Engineering Annual	2020-01-27
2016	K. T. Tsiakas F. Gagliardi S. Trompoukis K. C. Giannakoglou SHAPE OPTIMIZATION OF TURBOMACHINERY ROWS USING A PARAMETRIC BLADE MODELLER AND THE CONTINUOUS ADJOINT METHOD RUNNING ON GPUS published pages: , ISSN: , DOI: 10.5281/zenodo.343886	VII European Congress on Computational Methods in Applied Sciences and Engineering Annual	2020-01-27

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