The accelerated development cycle of new car models requires an increased use of computer-aided-engineering methods, which can be used in early design states, often before hardware exists. Statistical Energy Analysis (SEA) which was developed in the early 1960's is being applied more and more often in the car industry as a prediction and optimization tool of vehicle noise and vibration. Historically, vehicle noise and vibration prediction has been performed with finite element methods and more recently boundary element methods. However, the practical upper frequency limit of these methods is below frequencies which are important in the design and development of effective vehicle sound packages. Due to its statistical nature, the prediction accuracy of SEA increases with increasing frequency. In addition SEA captures real manufacturing and material variability without the enormous computational expense of permuted deterministic methods. In the remainder of this paper, the results of a vehicle door model are presented. The model was created using the commercially available AutoSEA software, and includes the door sheet metal, window glass, trim and leakages. The results of SEA caculations are compared with noise reduction measurements that were taken at the HP-Pelzer acoustic center in Witten, Germany. In addition, the influence of acoustic leaks and weak points are calculated and compared to measured results.
Modelling and validation of a passenger car door transmission loss with sea
1996
4 Seiten, 4 Bilder, 2 Quellen
Aufsatz (Konferenz)
Englisch
Passenger Car Door Closing Effort Prediction Using Virtual Simulation and Validation
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