Please select:

Computational Fluid Dynamics (CFD) has reached high levels of acceptance in industry as a valid design tool thanks to the introduction of new software, the improvement of existing software, and the rapid development in hardware.
As the lead times for solving fluid related problems have been drastically reduced, and more problems of different nature can be solved, there is an increasing interest from OEMs to combine CFD and advanced optimization techniques at various design stages, in order to obtain a “best” solution with the minimum effort.
By using a commercial design optimization code, in combination with Grid enabled technologies, it is expected to increase the number of CFD computations performed during the optimization process, while reducing the overall time required for achieving an optimized design.

Facts

Download the BE01 Case Study
View the BE01 Demonstrator
Download the BE01 OPTOCAD Factsheet
fileadmin/beingrid/pr_folder/Case_Studies/BEinGRID_Case-Studies_BE01_single.pdf

More details

The aim of this experiment is to emphasise the business benefits of performing Computational Fluid Dynamics (CFD) simulation of fluid flow for aircrafts or automotive vehicles within a grid environment. The benefits demonstrated in this experiment will then form the basis for the exploration of many other scenarios and engineering applications, including:
– Reliable and optimised simulation of aerodynamics and aero-acoustics
–   The exploration of particle or virus transfer through the ventilation systems of aircraft
–   Reliable and optimised simulation of fuel circulation in automobiles and aircraft
–   Fire and smoke (safety) simulation in cargo compartments of aircrafts

This particular business experiment (BE01), will grid-enable two CFD applications into a new computational and data intensive, collaborative platform based on Grid middleware and GridSphere. One test case from the aerospace sector and one from the automotive industry will be utilised. The results from the conventional and gridified solutions will be compared in detail and the business and technical benefits quantified wherever possible.

The main objectives of this experiment are:

The reduction in the CFD solving times required for large models(perform parallel computations by accessing extensive hardware resources via Grid technologies)

Improvements in the results from the automatic optimization process(perform large number of design evaluations in short periods of time by accessing extensive hardware resources via Grid technologies)

Improvements in the set up times(offer remote access to clients via Grid technologies to facilitate the definition of the optimization process, allowing the client to employ their own commercial tools while performing all CFD runs using Icon’s clusters)

The management of the experiment has been assigned to ICCS/NTUA while the end user of the whole application will be ICON. The third participant of this Business Experiment, Open CFD, will provide the software, used for the CFD solving. The resources needed for the implementation of the experiment will be clusters that will provided by both ICCS/NTUA and ICON.