Меню
КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2015–2018

IODA · Industrial optimal design using adjoint CFD

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2015-01-01 → 2018-12-31
Финансиране от ЕС
3 854 910 €
Участници
10
Схема
MSCA-ITN-ETN

Линиите свързват координатора с партньорите.

Накратко на български

Методите за компютърно моделиране на течности се използват за автоматично оптимизиране на формите на индустриални продукти. Това помага на европейските производители да разработват нови стоки по-бързо и да бъдат по-конкурентоспособни.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Industrial optimal design using adjoint CFD

Adjoint-based methods are the most interesting approach in numerical optimisation using Computational Fluid Dynamics (CFD). To enable its routine industrial application will be an essential ingredient in maintaining the competitive edge of European manufacturers and to support the EU Knowledge Economy. Parametrisation is at the core of shape optimisation, but bottlenecks primarily arise as current parametrisations do not provide the shape derivatives needed for adjoint optimisation. IODA addressed two bottlenecks: a) efficient but flexible and automatic parametrisation of arbitrary shapes, and b) imposition of design constraints. IODA’s progress with parametrisation enables to apply these methods to a much wider range of problems with much faster turnaround times, and ultimately reduced 'time to market' of new products.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз