Detailed Aerodynamic Characterization and Optimization of a Pickup Truck Using Adaptive Sampling based DOE FCA US LLC

Format:

Conference/Event

Author/Creator:

Jeyasingham, Jeyasingham, author.

Contributor:

Srinivasan, Kumar

Conference Name:

WCX World Congress Experience (2018-04-10 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2018

Summary:

AbstractA detailed Design of Experiments (DOE) study is presented to understand the aerodynamic effects of exterior design features and shape parameters of a pick-up truck using Computational Fluid Dynamics (CFD). The goal of the study is to characterize several key design parameters and the interactions between them as related to overall drag of the vehicle. Using this data, the exterior shape is optimized to minimize drag within specified design constraints. An adaptive sampling methodology is also presented that progressively reduces errors in the design response surfaces generated. This combined with a Latin Hypercube based initial design space characterization yields computational efficiency. A trend-predictive meta-model is presented that can be used for early design development. Results from the meta-model are also correlated with experimental data from the wind tunnel

Notes:

Vendor supplied data

Publisher Number:

2018-01-0743

Access Restriction:

Restricted for use by site license