This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Improved NVH Performance Via Genetic Optimization of Damping and Shape of Vehicle Panels
Technical Paper
2005-01-2329
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The present work explains an innovative design methodology that allows efficient optimizations of vehicle body panels and treatments towards shorter development time and improved vehicle Noise and Vibration Harshness (NVH) characteristics.
This tool named GOLD (Genetic Optimization for Lighter Damping), internally developed by Rieter Automotive, can be embedded into vehicle Computer Aided Engineering (CAE) design flow and can be then used in providing design and platform component sharing guidance information before prototype vehicles are available.
GOLD is able to detect the optimal design of vehicle panel shape and damping packages with respect to NVH targets, by means of vibro-acoustic simulations. The core of this tool are the Genetic algorithms (GAs) which are heuristic methods which have been already successfully used, in several research fields, to solve search and optimization problems with a very large number of variables.
Typical design variables, that can be faced into the optimization loop, include the geometry and the materials configuration of the damping viscoelastic layers, as well as potential structural shape modifications of the body panels, like the application of soap film layouts, embossments and ribs.
The whole iteration and FE model generation and updating process is automatically performed and controlled by special operators embedded in the GOLD software.
The tool has already proven to provide high improvements when solving damping optimization problems of full vehicle structures, and one of this cases will be presented here. A component level optimization takling at the same time damping and shape design variables is also presented, taking into account weight constraints and performance objective functions.
Recommended Content
Authors
Citation
Caprioli, D., Bertolini, C., and Gaudino, C., "Improved NVH Performance Via Genetic Optimization of Damping and Shape of Vehicle Panels," SAE Technical Paper 2005-01-2329, 2005, https://doi.org/10.4271/2005-01-2329.Also In
SAE 2005 Transactions Journal of Passenger Cars: Mechanical Systems
Number: V114-6; Published: 2006-02-01
Number: V114-6; Published: 2006-02-01
References
- Holland J.H. Adaptation in Natural and artificial Systems The MIT Press Cambridge 1975
- Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning Addison-Wesley 1989
- Lai H. Numerical Optimization Based on Genetic Algorithm for Multi-layer Acoustic Liner Design Proceedings of Noise-Con 2001 October 2001
- Ratle A. Berry A. Use of Genetic Algorothms for the Vibroacoustic Optimization of a Plate Carrying Point-masses JASA 104 6 December 1998
- Binder J.D. Genetic Searches Spawn Aerospace Solutions Systems&Software Aerospace America February 2001
- Akagi M. Yoshida J. Wang S. Ferrali L. Simulation by EMERALD/NASTRAN of non-flat vehicle panels with multi-layer damping treatment 17th MSC Japan Users Conference '99
- Strasser P. Ferrali L. Caprioli D. Emerald: an FE-tool for the optimal design of damped vehicle bodies with respect to low-middle frequency range Rieter Automotive Conference 2001
- Ferrali L. Caprioli D. Gaudino C. Falk T. GOLD: a new method for virtual vehicle damping optimisation Rieter Automotive Conference 2003