The cost and weight reduction requirements in automotive applications are very important targets in the design of a new car. For this reason, all the components of the vehicle have to be optimized and the design of the damping material layout has to be deeply analyzed in order to have a good noise, vibration, and harshness (NVH) performance with minimum mass and cost. A tool for the optimization of the damping material layout has been implemented and tested; the need to explore the entire design space with a big number of variables suggested the use of a genetic multi-objective algorithm for the optimization. These algorithms require a large number of calculations and the solution of the complete NVH model would be too expensive in terms of computation time. For this reason, a new software tool has been developed based on the simulation of the damping material treatments by means of an auxiliary mass and stiffness matrix, which was added to the baseline modal base; using this procedure, the required time for the simulation of each damping material layout configuration is reduced to a few minutes, allowing to exploit the genetic algorithm capability to efficiently explore the design space. As a result, some configurations with an important mass reduction or a much better acoustic performance have been found. This method has been verified on a simple Aluminum box in order to verify all the assumptions and to test the effectiveness in predicting the vibration levels of plates with free layer damping added to it.
Skip Nav Destination
e-mail: marco.danti@crf.it
Article navigation
April 2010
Research Papers
Modal Methodology for the Simulation and Optimization of the Free-Layer Damping Treatment of a Car Body
Marco Danti,
Marco Danti
Vehicle Engineering NVH,
e-mail: marco.danti@crf.it
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano (TO), Italy
Search for other works by this author on:
Davide Vigè,
Davide Vigè
Vehicle Engineering NVH,
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano (TO), Italy
Search for other works by this author on:
Guido Vincent Nierop
Guido Vincent Nierop
Engineering and Design Virtual Analysis-NVH,
Fiat Auto
, Corso Settembrini 40, 10135 Torino, Italy
Search for other works by this author on:
Marco Danti
Vehicle Engineering NVH,
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano (TO), Italye-mail: marco.danti@crf.it
Davide Vigè
Vehicle Engineering NVH,
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano (TO), Italy
Guido Vincent Nierop
Engineering and Design Virtual Analysis-NVH,
Fiat Auto
, Corso Settembrini 40, 10135 Torino, ItalyJ. Vib. Acoust. Apr 2010, 132(2): 021001 (8 pages)
Published Online: March 15, 2010
Article history
Received:
October 6, 2006
Revised:
October 26, 2009
Online:
March 15, 2010
Published:
March 15, 2010
Citation
Danti, M., Vigè, D., and Nierop, G. V. (March 15, 2010). "Modal Methodology for the Simulation and Optimization of the Free-Layer Damping Treatment of a Car Body." ASME. J. Vib. Acoust. April 2010; 132(2): 021001. https://doi.org/10.1115/1.4000844
Download citation file:
Get Email Alerts
Numerical Analysis of the Tread Grooves’ Acoustic Resonances for the Investigation of Tire Noise
J. Vib. Acoust (August 2024)
Related Articles
Fundamental Study on the Super-Long-Period Active Isolation System
J. Pressure Vessel Technol (November,2006)
An Active Microvibration Isolation System for Hi-tech Manufacturing Facilities
J. Vib. Acoust (April,2001)
Optimal Implementation of Miniature Piezoelectric Panel Speakers Using the Taguchi Method and Genetic Algorithm
J. Vib. Acoust (July,2004)
Application of Practical Observer to Semi-Active Suspensions
J. Dyn. Sys., Meas., Control (June,2000)
Related Proceedings Papers
Related Chapters
Stock Market Technical Indicator Optimization by Genetic Algorithms
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
A Review on Using of Quantum Calculation Techniques in Optimization of the Data System of Mutation Test and its Comparison with Normal Genetic Algorithm and Bacteriological
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
Optimization of Fuzzy Inference System Using Modified Genetic Algorithm
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)