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Experimental Data for the Validation of Numerical Methods: DrivAer Model

Max Varney, Martin Passmore, Felix Wittmeier, Timo Kuthada

2020Fluids21 citationsDOIOpen Access PDF

Abstract

As the automotive industry strives to increase the amount of digital engineering in the product development process, cut costs and improve time to market, the need for high quality validation data has become a pressing requirement. While there is a substantial body of experimental work published in the literature, it is rarely accompanied by access to the data and a sufficient description of the test conditions for a high quality validation study. This paper addresses this by reporting on a comprehensive series of measurements for a 25% scale model of the DrivAer automotive test case. The paper reports on the measurement of the forces and moments, pressures and off body PIV measurements for three rear end body configurations, and summarises and compares the results. A detailed description of the test conditions and wind tunnel set up are included along with access to the full data set.

Topics & Concepts

Automotive industryComputer scienceExperimental dataQuality (philosophy)Set (abstract data type)Data setData validationScale (ratio)Process (computing)Wind tunnelData qualityTest dataIndustrial engineeringEngineeringAerospace engineeringDatabaseOperations managementArtificial intelligenceMathematicsStatisticsSoftware engineeringQuantum mechanicsMetric (unit)PhilosophyOperating systemProgramming languagePhysicsEpistemologyAerodynamics and Fluid Dynamics ResearchVehicle Noise and Vibration ControlAdvanced Combustion Engine Technologies
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