Multiphysic Modeling and Heuristic Optimization of Compression Driver Design

Gasparini M, Cecchi S, Piazza F, Capucci E, Toppi R. Multiphysic Modeling and Heuristic Optimization of Compression Driver Design. In: AES Convention 136. Audio Engineering Society; 2014. Paper 9069. Available from: https://aes.org/publications/elibrary-page/?id=17216

@inproceedings{Gasparini2014_17216,
  author = {Gasparini, Michele and Cecchi, Stefania and Piazza, Francesco and Capucci, Emiliano and Toppi, Romolo},
  title = {{Multiphysic Modeling and Heuristic Optimization of Compression Driver Design}},
  booktitle = {AES Convention 136},
  note = {Paper 9069},
  year = {2014},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17216}
}

TY  - CPAPER
TI  - Multiphysic Modeling and Heuristic Optimization of Compression Driver Design
AU  - Gasparini, Michele
AU  - Cecchi, Stefania
AU  - Piazza, Francesco
AU  - Capucci, Emiliano
AU  - Toppi, Romolo
T2  - AES Convention 136
M1  - Paper 9069
PY  - 2014
DA  - 2014/04/06
UR  - https://aes.org/publications/elibrary-page/?id=17216
PB  - Audio Engineering Society
LA  - en
AB  - The use of finite element analysis is quite common in modern design techniques. Modeling allows to save time and efforts, especially when complex phenomena have to be considered. A compression driver is an example of a product with a problematic design, because the great number of variables and the different physics that are involved in the sound generation process makes the direct solution of mathematical models not trivial. In this paper an algorithm that optimizes the design parameters of the driver through an evolution strategies based procedure, taking advantage of the accuracy of the results from finite elements simulation, is presented. The method has been tested by optimizing a real compression driver and the results are reported.
ER  -