Details

Leigh Lapworth, Rolls Royce

Biography

Dr. Leigh Lapworth joined Rolls-Royce in 1987 after a first degree in Mathematics at Cambridge University and a Ph.D in Computational Fluid Dynamics (CFD) at Cranfield University. Leigh has worked on many aspects of CFD and has a wide experience of applying CFD across the Rolls-Royce business units and sectors. Leigh also has a many years' experience of exploiting High Performance Computing for large scale simulations. From 2000 to 2012, Leigh has led the development of the corporate Rolls-Royce CFD code, HYDRA. This involved a unique collaboration between Rolls-Royce and a number of university groups, many of which are University Technology Centres supported by Rolls-Royce. Leigh has many years experience of working with universities to develop CFD and was the co-ordinator of the University Technology Centre in CFD at Oxford University from 1998 to 2005. In January 2004, Leigh was elected a Rolls-Royce Associate Engineering Fellow in CFD. He is a Chartered Mathematician and Fellow of the Institute of Mathematics and its Applications. From July 2008 to June 2012, he has held a Royal Society Industry Fellowship allowing him to spend up to 2 days a week at Loughborough University. In 2012, Leigh was appointed Chief Design Systems Architect for Design Systems Engineering. In this role, he also leads the Computational Science and Engineering Group. Leigh represents Rolls-Royce on a number of external advisory boards and panels.

Abstract

Computational Science and Engineering Grand Challenges in Rolls-Royce

Rolls-Royce has used simulation, supported by high performance computing, in its design processes for many years. This has already led to profound improvements in the performance, noise and reliability of our products. Some of our design activities routinely use CFD simulations with close to 100 million degrees of freedom. However, we are at a tipping point. The next generation of design systems must be able to handle unsteady phenomena and be able to perform design optimisation across complex systems with simultaneous modelling of multiple, coupled, physical effects - whether aerodynamic, mechanical, thermal, acoustic or material.  In most of these, the increase in complexity requires multiple orders of magnitude jump in the number of degrees of freedom. These present significant computational science and high performance computing challenges. This presentation will show how Rolls-Royce is constructing a number of Grand Challenges to drive the development of the software and hardware tools needed for the next generation design system. It will also describe the networks and collaborations that Rolls-Royce is putting in place to help deliver solutions to the Grand Challenges

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