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W. Cardenas, and W. Klippel, "Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements," Paper 9928, (2018 May.). doi: W. Cardenas, and W. Klippel, "Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements," Paper 9928, (2018 May.). doi:
Abstract: 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.

@article{cardenas2018optimal,
author={cardenas, william and klippel, wolfgang},
journal={journal of the audio engineering society},
title={optimal material parameter estimation by fitting finite element simulations to loudspeaker measurements},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},} @article{cardenas2018optimal,
author={cardenas, william and klippel, wolfgang},
journal={journal of the audio engineering society},
title={optimal material parameter estimation by fitting finite element simulations to loudspeaker measurements},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={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.},}

TY - paper
TI - Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements
SP - EP -
AU - Cardenas, William
AU - Klippel, Wolfgang
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018 TY - paper
TI - Optimal Material Parameter Estimation by Fitting Finite Element Simulations to Loudspeaker Measurements
SP - EP -
AU - Cardenas, William
AU - Klippel, Wolfgang
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018
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.