W. Cardenas and W. Klippel, “Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements,” in Proc. AES Convention 144, May 2018, Paper 9928. [Online]. Available: https://aes.org/publications/elibrary-page/?id=19445
Cardenas W, Klippel W. Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements. In: AES Convention 144. Audio Engineering Society; 2018. Paper 9928. Available from: https://aes.org/publications/elibrary-page/?id=19445
@inproceedings{Cardenas2018_19445,
author = {Cardenas, William and Klippel, Wolfgang},
title = {{Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements}},
booktitle = {AES Convention 144},
note = {Paper 9928},
year = {2018},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=19445}
}
TY - CPAPER
TI - Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements
AU - Cardenas, William
AU - Klippel, Wolfgang
T2 - AES Convention 144
M1 - Paper 9928
PY - 2018
DA - 2018/05/06
UR - https://aes.org/publications/elibrary-page/?id=19445
PB - Audio Engineering Society
LA - en
AB - Important characteristics for the sound quality of loudspeakers like frequency response and directivity are determined by the size, geometry, and material parameters of the components interfacing the acoustic field. The higher-order modes after cone break-up play an important role in wideband transducers and require a careful design of the cone, surround, and other soft parts to achieve the desired performance. Finite Element Analysis is a powerful simulation tool but requires accurate material parameters (complex Young's modulus as a function of frequency) to provide meaningful results. This paper addresses this problem and provides optimal material parameters by fitting the FEA model to an existing loudspeaker prototype measured by Laser vibrometry. This method validates the accuracy of the FEA simulation and gives further information to improve the modeling.
ER -