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Friday, August 22, 2014

CD-adapco Academic STAR Simulation Contest Winner Announced

The CD-adapco Global Academic Program congratulates Alex Haldane for winning the CD-adapco Academic STAR Simulation Contest! Alex’s submission, STAR-CCM+ LES Simulation of Poppet Valve Using Morphing Mesh and Dynamic Remeshing, was chosen from a number of videos submitted by academics from all around the world. 

Alex recently finished his third year of the four year Mechanical Engineering MEng course at the University of Warwick in the UK. As top prize winner, Alex’s video will be featured on the main page of the CD-adapco website along with winning an iPad Mini and a CD-adapco Global Academic Program T-shirt. 

Alex’s project compared the performance of a recently patented helical valve to a conventional valve with CFD using the LES turbulence Model. The two cases used STAR-CCM+ as the CFD package and had a combined run time of 240 hours on a Linux cluster. The Large Eddy Simulation model was chosen due to LES having a reduced calculation time compared to other models whilst reproducing accurate flow characteristics, with cycle-to-cycle variation levels being similar to experimental data. 

The engine geometry was based on a Ducati 999R as it has the same sized valves as the test helical valves produced. Both cases used a poppet valve for the exhaust in order to maintain constant Internal Exhaust Gas Recirculation (IEGR). If the IEGR varies between cases this leads to an unfair comparison between different intake valves. 

The project was validated by using STAR-CCM+ to recreate experimental data on laminar flow around a U-bend, square cross section duct. The validation produced accurate results matching the experimental data closely. 

The biggest success of this project was managing to simulate unsteady, moving geometry simulations with morphing mesh and developing dynamic remeshing for STAR-CCM+. Dynamic Meshing automatically remeshes the case when required. Macros written by Alex were used to facilitate a dynamic remeshing process within the simulation. 

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