Study on the Acoustic Characteristics of Headphone with ECM Simulation and Reverse Engineering
- DOI
- 10.2991/smont-19.2019.9How to use a DOI?
- Keywords
- reverse engineering; equivalent circuit model
- Abstract
In this study, DENON monitor headphones were the investigated target. Through equivalent circuit model, complete and accurate acoustic properties were obtained, with extension of this model to include the influence of front and rear chambers and assembled components, allowing for comprehensive headphone system simulation. Results of simulation and actual measurements were very close. In addition, reverse engineering technology, 3D printing, was used to reproduce the chambers and other components of the headphone system, except to the microspeaker. Fabricated headphone acoustic properties were highly similar to those of the factory produced headphones. This indicates the suitability and feasibility of earphone system development through reverse engineering. Loss was noted at low frequency. This was due to the ventilation materials of the front frame connecting the rear and front chambers. Overall, equivalent circuit simulation of headphone system with 3D printer technology can lead to results that resemble the acoustic properties of headphones sold on the market. The results of this study can be applied to parameter analysis and verification, as well as system development.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - H.W. Chen AU - S.G. Li AU - Shuchien Wu AU - Y.C. Liu PY - 2019/04 DA - 2019/04 TI - Study on the Acoustic Characteristics of Headphone with ECM Simulation and Reverse Engineering BT - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019) PB - Atlantis Press SP - 34 EP - 37 SN - 1951-6851 UR - https://doi.org/10.2991/smont-19.2019.9 DO - 10.2991/smont-19.2019.9 ID - Chen2019/04 ER -