Acoustical optimization of mufflers hybridized with spiral perforated tubes using finite element method,Artificial Neural Network,and Genetic Algorithm

Abstract

Because venting noise emitted from high pressure valve often occurred in industry and is huge, the noise abatement of the venting noise to protect human’s hearing health is necessary. In order to depress the high speed noise, a muffler internally equipped with spiral perforated tube is presented. To mitigate this noise, a dissipative muffler with perforated spiral tube installed on the pipeline is proposed. To evaluate the acoustical performance, a finite element method using COMSOL software is adopted. Also, the sensitivity analyses of Transmission Loss (TL) of the proposed muffler with respect to (1) diameter of the spiral and perforated tube (D), (2) pitch of the spiral tube (L), (3) acoustical impedance of the dissipative acoustic material (R), and (4) perforation rate of a perforated tube (σ) has been carried out. For the optimization studies, both Artificial Neural Network (ANN) and Genetic Algorithm (GA) to optimize the muffler parameters L and D are applied. Here, two high target frequencies (2000 and 3500 Hz) to optimize the proposed muffler are exemplified. Consequently, the hybrid design of perforated spiral tube optimized using ANN and GA will mitigate the high pressure valve noise efficiently.

Keywords

Spiral perforated FEM muffler Genetic Algorithm Artificial Neural Network

Get full access to this article

View all access options for this article.

References

Munjal

ML.

Velocity ratio-cum-transfer matrix method for the evaluation of a muffler with mean flow. J Acoust Soc Am 1957; 39: 105–119.

Sullivan

Crocker

MJ.

Analysis of concentric-tube resonators having unpartitioned of cavities. J Acoust Soc Am 1978; 64(1): 207–215.

Sullivan

JW.

A method for modeling perforated tube muffler components. I: theory. J Acoust Soc Am 1979; 66(3): 772–778.

Delany

Bazley

EN.

Acoustical properties of fibrous absorbent materials. Appl Acoust 1970; 3(2): 105–116.

Johnson

Koplik

Dashen

Theory of dynamic permeability and tortuosity in fluid-saturated porous media. J Fluid Mech 1987; 176: 379–402.

Champoux

Allard

JF.

Dynamic tortuosity and bulk modulus in air-saturated porous media. Journal of Appl Phys 1991; 70(4): 1975–1979.

Lafarge

Lemarinier

Allard

JF.

Dynamic compressibility of air in porous structures at audible frequencies. J Acoust Soc Am 1997; 102(4): 1995–2006.

Cummings

Sound transmission in curved ducts bends. J Sound Vib 1974; 35: 451–477.

Rostafinski

Transmission of wave energy in curved ducts. J Acoust Soc Am 1974; 56: 1005–1007.

10.

Fuller

Bies

DA.

A reactive acoustic attenuator. J Sound Vib 1978; 56(1): 45–59.

11.

Fuller

Bies

DA.

Propagation of sound in a curved bend containing curved axial partition. J Acoust Soc Am 1978; 63: 681–686.

12.

Selamet

Dickey

Novak

JM.

The theory of Hershel-Quinckee tube: A theoretical computational and experimental investigation. J Acoust Soc Am 1994; 96: 3177–3185.

13.

Kim

JG.

Transfer matrix of curved duct bends and sound attenuation in curved expansion chambers. Appl Acoust 1999; 56: 297–309.

14.

Chiu

MC.

Optimal design of multi-chamber mufflers hybridized with perforated intruding inlets and resonated tube using simulated annealing. ASME J Vib Acoust 2010; 132: 1–10.

15.

Chiu

MC.

Numerical assessment of reverse-flow mufflers using a simulated annealing method. Can Soc Mech Eng (CSME) Trans 2010; 34(1): 17–35.

16.

Chiu

MC.

Shape optimization of multi-chamber mufflers with plug-inlet tube on a venting process by genetic algorithms. Appl Acoust 2010; 71: 495–505.

17.

Chiu

MC.

Genetic algorithm optimization on a venting system with three-chamber hybrid mufflers within a constrained back pressure and space. ASME J Vib Acoust 2012; 134(021005): 1–11.

18.

Chiu

MC.

Numerical assessment of hybrid mufflers on a venting system within a limited back pressure and space using simulated annealing. J Low Freq Noise Vibr Act Control 2011; 30(4): 247–275.

19.

Chiu

MC.

Numerical assessment for a broadband and tuned noise using hybrid mufflers and a simulated annealing method. J Sound Vib 2013; 332: 2923–2940.

20.

Fang

Zhou

Jiao

, et al. Study on pressure loss for a muffler based on CFD and experiment. 2009 international conference on measuring technology and mechatronics automation, Zhangjiajie, China, 2009.

21.

Chen

Shi

CFD numerical simulation of exhaust muffler. Seventh international conference on computational intelligence and security, Sanya, China, 2011.

22.

Galphade

Patil

AV.

Design and analysis of muffler for 800 cc car. Int J Adv Res Eng Sci Technol 2015; 2(7): 72–76.

23.

Chang

Chiu

Cheng

MM.

Optimum design of perforated plug mufflers using neural network and genetic algorithm. Proc IMechE, Part C: J Mechanical Engineering Science 2009; 223: 935–952.

24.

Chiu

Chang

YC.

Application of neural network and genetic algorithm to the optimum design of perforated tube mufflers. J Mech 2009; 25: N7–N16.

25.

Chiu

MC.

Shape optimization of multi-chamber tube-extended mufflers within specified back pressures using a particle swarm method. Noise Vibr Worldwide 2013; 44(3): 10–23.

26.

Chang

Chiu

MR.

Acoustical assessment of automotive mufflers using fem and neural networks and genetic algorithm. Arch Acoust 2018; 43(3): 519–529.

27.

Jeon

Kim

Hong

, et al. Acoustic performance of industrial mufflers with CAE modeling and simulation. Int J Nav Archit Ocean Eng 2014; 6(4): 935–946.

28.

Ivakhnenko

AG.

Polynomial theory of complex systems. IEEE Trans Syst Man Cybern Syst 1971; 4: 364–378.

29.

Holland

Adaptation in natural and artificial system. Ann Arbor, MI: University of Michigan Press, 1975.

30.

Jong

An analysis of the behavior of a class of genetic adaptive systems. Doctoral Thesis, Dept Computer and Communication Sciences, University of Michigan, USA, 1975.

31.

Chiu

MC.

Optimization design of hybrid mufflers on broadband frequencies using the genetic algorithm. Arch Acoust 2011; 36(4): 795–822.

32.

Chiu

Chang

YC.

Shape optimization of multi-chamber side inlet/outlet mufflers hybridized with multiple perforated intruding tubes using genetic algorithm. J Mar Sci Technol 2013; 21(3): 238–249.