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Filming the Bloodhound Super Sonic Car Land Speed Record

Using CAE to optimise the design of a prototype for a super sonic filming drone

Newsletter EnginSoft Year 14 n°4
By Timothy Missing, Michael Boer | University of the Witwatersrand, Johannesburg, South Africa
<h5>Filming the Bloodhound Super Sonic Car Land Speed Record</h5>
Filming the Bloodhound Super Sonic Car Land Speed Record

Abstract

The Bloodhound project, conceptualized in 2008 by Richard Noble and Andy Green (past and present holders of the land speed record), targeted the setting of a new land speed record of 1000 mph with the Bloodhound Super Sonic Car (SSC) on an 18 km-long stretch of the Hakskeen salt pan in the Northern Cape of South Africa.

The South African University of the Witwatersrand in Johannesburg set some of its students a final-year Mechanical Engineering project to design a system to film the Bloodhound land speed record attempt at a distance of 50 m without interfering with the vehicle in any way.

This detailed technical case study describes how the students arrived at a supersonic aircraft drone prototype using MATLAB and modeFRONTIER in order to reduce the time and costs of numerical and wind-tunnel testing.

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Integrated Simulation of Commercial Pasta Manufacturing

The Virtual Optimization PAsta production process (OPAV) research project, which resulted in a simulation model

This study was part of the Virtual Optimization PAsta production process (OPAV) research project,

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Optimization of the SLM/DMLS process to manufacture an aerodynamic Formula 1 part

This paper presents the RENAULT F1 Team’s AM process for an aerodynamic insert in titanium Ti6Al4V. Production was optimized by identifying the best orientation for the parts and the best positioning for the support structures in the melting chamber, in addition to using the ANSYS Additive Print module, a simulation software useful for predicting the distortion of a part and for developing a new, 3D, compensated model that guarantees the best “as-built” quality.

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