"Meta-modeling", Optimization and Robust Engineering of Automotive Systems Using Design of Experiments Universidade Federal de Uberlândia

Format:

Conference/Event

Author/Creator:

Butkewitsch, Sergio, author.

Conference Name:

International Mobility Technology Conference and Exhibit (2001-11-19 : Sao Paulo, Brazil)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2001

Summary:

This paper describes the application of statistical techniques known as Design of Experiments (D.O.E.) to efficiently use the results of numerical analysis data in order to improve the configuration of automotive systems. The general framework of these techniques is presented in a format aiming at the design engineer as their end user. Besides, a case study is presented with the purpose of illustrating their practical use. The first step of the case study is to build predictive models for the behaviour of the automotive system being developed by means of the Response Surface Method (RSM), using the proper D.O.E. options. Once these predictive models are available, automatic numerical optimization algorithms are used to improve the responses of interest for given operating conditions. Finally, the automotive systems are robust designed taking into account that the operating conditions vary randomly. The results obtained are discussed, highlighting the most important hints for designers, and an outlook of further applications is presented

Notes:

Vendor supplied data

Publisher Number:

2001-01-3848

Access Restriction:

Restricted for use by site license