Optimal Design of Ossicular Silencer Based on Response Surface Methodology

CHENG Junsheng, YU Hao


In order to improve the performance and reduce mass of an ossicular silencer, the average transmission losses (TL) in the low frequency range and the broadband were chosen as optimization goals, several structural parameters (width of the main duct,depth of the enclosed cavity, and length of the enclosed cavity) were chosen as optimization variables, and the mass of the silencer was taken as the constrain condition. The finite element model was also established for the silencer, sample points were obtained by central composite design (CCD),the quadratic polynomial model was constructed based on response surface methodology (RSM),and the fitting accuracy was tested. Response surface methodology combined with genetic algorithm II (NSGA-II) was applied to optimize the structural parameters of the silencer. The optimized ossicular silencer shows better performance and lighter weight. The optimization results indicate that the structural parameters of the silencer are optimized by combining the response surface methodology with genetic algorithm.



Keywords: silencer,  response surface methodology,  genetic algorithms,  design of experiments

Full Text:



ZHOU Xinxiang. Technology and progress of noise control [M]. Beijing; Metallurgical Industry Press. 2007: 189 - 198. (In Chinese)

LEE J W. Optimal topology of reactive muffler achieving target transmission loss values: design and experiment [J]. Applied Acoustics. 2015.88:104 - 113.

WANG C. HUANG L. Investigation of a broadband duct noise control system inspired by the middle ear mechanism[J]. Mechanical Systems and .Signal Processing.2012.31:284 -297.

VOLANDRI G.D1PUCCIO F.FORTE P,et al. Model-oriented review and multi-body simulation of the ossicular chain of the human middle ear [J]. Medical Engineering &- Physics.2012.34 (9): 1339-1355.

SHERA C A.ZWE1G G. Middle-ear phenomenology: the view from the three windows [J]. The Journal of the Acoustical Society of America. 1992.92(3): 1356 - 1370.

OCONNOR K N.PURIA S. Middle-ear circuit model parameters based on a population of human ears[J]. The Journal of the Acoustical Society of America.2008. 123(1) s 197- 211.

WANG Xuelin. LING Lin. HU Yujin. Simulation of forward and reverse pressure gain produced by the human middle ear [J]. Journal of Huazhong University of Science and Technology: Natural Sciences,2012. 10(2): 5-8. (In Chinese)

Quincke tubes to improve the efficiency of lined ducts[j]. Applied Acoustics.2011 ,72(2) :78 -88.

BAL Zhonghao. YAN Qiang. LONG Yao, et al. Optimization of child restraint system parameters based on independent crash cases[J] Journal of Hunan University: Natural Science.2012. 39( 11); 46 - 51. (In Chinese)

Yiwen. XU Tao. XU Tianshuang. et al. Optimal design of energy-absorbing structure of autobody under low-speed crash [J]. Transactions of Beijing Institute of Technology.2010.30 (10): 1175-1179. (In Chinese)

KEN Yiru. ZHANG Tiantian, ZENG Lingbin. Tidal turbine hydrofoil design method based on genetic algorithm [J]. Journal of Hunan University.Natural Sciences,2015,42(10) .59 -64. (In Chinese)

DEB K.PRATAP A. AGAKWAL S,et al. A fast and elitist multiobjective genetic algorithm: NSGÀ-H [J]- Evolutionary Computation, IEEE Transactions on, 2002. 6(2) - 182-197.


  • There are currently no refbacks.