Dr. Fassi Kafyeke

Senior Director Strategic Technology and Advanced Product Development at Bombardier Aerospace

Dr. Fassi Kafyeke

Senior Director Strategic Technology and Advanced Product Development at Bombardier Aerospace
Title: Modeling and Simulation of Aircrafts at Bombardier

Biography

Fassi Kafyeke has an Aerospace Engineering Master’s degree from Université de Liège, a Master’s degree (Air Transport Engineering) from the Cranfield Institute of Technology and a PhD (Aerodynamics) from École Polytechnique de Montréal. He joined Bombardier in 1982. In 1996 he became Chief of Advanced Aerodynamics, responsible for the design and testing for all Business Jets, Regional jets and the CSeries airliner. In 2007 he became Director of Strategic Technology and since 2015, he is a Senior Director and a member of the Bombardier Product Development Engineering Leadership team, responsible for technology innovation, products innovation and Eco-design.

Presentation Abstract

Modelling and Simulation of Aircraft at Bombardier

Bombardier develops and produce business jets, regional aircraft and now, with the CSeries, single-aisle mainline jets. Aircraft have long development times requiring intensive capital investments. Numerical simulations have been identified as a key ingredient to support compressed development schedules and provide high-fidelity analyses upstream in the design process, leading to higher performance vehicles and lowering the engineering costs associated with wind tunnel, rig and flight testing. The presentation will highlight some examples of simulations in aerodynamics, structures and systems. The biggest use of simulation at Bombardier is the aerodynamics, where advanced algorithms and supercomputers are used to investigate high-speed wings, high-lift systems, aircraft icing and engine/airframe interactions. Although current simulations provide high levels of fidelity, challenging aerodynamics problems remain to be solved. Current HPC hardware trends puts the burden on software developers and researchers to develop software/algorithms that are massively parallel, scalable and computationally efficient.