The Cambridge eScience Centre


Distance CFD Supercomputing for Industry

Grid-based technology applied to Combustion CFD

Understanding turbulent flow patterns in complex systems like gas turbines and aero engines

Distributed computational fluid dynamics (PDF file) - included in the Conference Proceedings of the All Hands Meeting 2003

JPG Poster (landscape) | JPG Poster (portrait) | PDF Poster (landscape) | PDF Poster (portrait)

Project Staff

Dr Stewart Cant 

Principal Investigator

Dr Karl Jenkins 

Research associate

Dr Xiaobo Yang 

Scientific programmer (also on EMGrid)

Computational fluid dynamics (CFD) offers a major opportunity for the development and application of GRID technology in engineering.

In the present work a parallel combustion DNS code called SENGA was used to investigate flame kernel growth in a turbulent environment. Due to the nature of DNS, simulations are becoming more demanding, both in terms of the physics to be simulated and the levels of temporal and spatial resolution requirement. Therefore, current grid technologies have been used for CFD to investigate simulation performance in terms of user friendly job submissions and data access. These technologies include Globus and Condor software. A Condor pool, consisting of an eight processor PC cluster, was set up. Finally, distributed data sets were generated and analysed to look at the flame surface structure in the form of component flame surface normals.


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