Multi-Disciplinary Robust Optimization for Performances of Noise & Vibration and Impact Hardness & Memory Shake General Motors Corporation

Format:

Conference/Event

Author/Creator:

Bennur, Mallikarjuna, author.

Conference Name:

SAE World Congress & Exhibition (2009-04-20 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2009

Summary:

This paper demonstrates the benefit of using simulation and robust optimization for the problem of balancing vehicle noise, vibration, and ride performance over road impacts. The psychophysics associated with perception of vehicle performance on an impact is complex because the occupants encounter both tactile and audible stimuli. Tactile impact vibration has multiple dimensions, such as impact hardness and memory shake. Audible impact sound also affects occupant perception of the vehicle quality. This paper uses multiple approaches to produce the similar, robust, optimized tuning strategies for impact performance. A Design for Six Sigma (DFSS) project was established to help identify a balanced, optimized solution. The CAE simulations were combined with software tools such as iSIGHT and internally developed Kriging software to identify response surfaces and find optimal tuning. Multiple methods were employed because:The project showed that two different approaches yielded very similar results. Greater understanding of vehicle sensitivities to component properties through response surfaces and transfer functions were established. An innovative memory shake matrix was developed for future vehicle development. It is imperative to balance the ride and handling and noise and vibration for robustness of the vehicle performance

Notes:

Vendor supplied data

Publisher Number:

2009-01-0341

Access Restriction:

Restricted for use by site license