Benjamin Hanson Email & Phone Number

Warwick, Gb

• Research and Development of low TRL technologies including AI and Machine Learning to support the aerodynamic development process.• Setting the strategy for how aerodynamic development tools fit together to maximise the efficiency and effectiveness of the overall process.• Implementation of technological and methodological advancements to the aerodynamic development process to enhance aerodynamicists understanding of the flow field; driving aerodynamic performance. • Alignment and optimisation of the aerodynamic development tools and process to complement the aerodynamic strategies set by chief and principal aerodynamicists.

• Training, optimisation and deployment of artificial intelligence models to find race car aerodynamic performance• Leading the teams effort in exporting the full CFD dataset to find race car performance• Focal point for CFD data tools and analytics

Enstone, England, United Kingdom

Technical leadership and support of a team of aerodynamicists, focussing on:• 2022 Formula 1 aerodynamic rule change • Underfloor system • Front tyre wake control • Track test support and correlation • Full size collaboration

Technical leadership and support of a team of aerodynamicists, focussing on:• Diffuser performance and stability • Reaction to 2021 diffuser regulations • Rear tyre wake control • Rear suspension aerodynamic optimisation and trade offs • Track test support and correlation • Full size collaboration

Primarily focussed on aerodynamic development of the mid-car and underfloor, encompassing:• Aerodynamic project management • Group leadership and mentoring• Trackside, Wind Tunnel and CFD cross-correlation • Aerodynamic group CFD usage under ATR • Aerodynamic software and CFD methodology development • Particle Image Velocimetry setup and use • Machine learning techniques• Interviewing at graduate and IP level • Research of and departmental presentations on cognitive biases and its application to decisions made during Wind Tunnel testing

• Aerodynamic development using computational and experimental techniques• Mid car tyre wake control and floor vortex systems • Diffuser performance and stability • Diffuser exhaust blowing optimisation, including thermal CFD predictions and associated effects on bodywork and tyre heating.• CFD to Wind Tunnel correlation including, but not limited to, front wing structures, mid car vortex system, tyre wakes and diffuser stability • Wind Tunnel optical measurement techniques • CFD turbulence model studies

• Front wing development • Front tyre wake control • Front tyre wake correlation • CFD methodology to support front car aerodynamic development

• Internal aerodynamic system development • Brake system cooling and thermal analysis • Radiator optimisation • Airbox performance

Master Of Engineering (Meng), Aerospace, Aeronautical And Astronautical Engineering

Education record

Education record