This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Modelling and Optimization of Plug Flow Mufflers in Emission Control Systems
Technical Paper
2017-01-1782
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Large-scale emergency or off-grid power generation is typically achieved through diesel or natural gas generators. To meet governmental emission requirements, emission control systems (ECS) are required. In operation, effective control over the generator’s acoustic emission is also necessary, and can be accomplished within the ECS system. Plug flow mufflers are commonly used, as they provide a sufficient level of noise attenuation in a compact structure. The key design parameter is the transmission loss of the muffler, as this dictates the level of attenuation at a given frequency. This work implements an analytically decoupled solution, using multiple perforate impedance models, through the transfer matrix method (TMM) to predict the transmission loss based on the muffler geometry. An equivalent finite element model is implemented for numerical simulation. The analytical results and numerical results are then evaluated against experimental data from literature. The transmission loss required in each application of the ECS system will vary depending on the noise profile of the generator in question; therefore, it is necessary to have an effective method of redesigning the muffler to meet the design requirements. Prior work on TMM-based muffler shape optimization utilized complex algorithms such as neural networks and simulated annealing. The present study simplifies the process by using the bounded, limited-memory implementation of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm in a multi-start framework for shape optimization to achieve the desired transmission loss. By constraining the multi-start method with appropriate design limits, the algorithm is initialized at multiple random points within the design space, ensuring that the solution approaches the global optimum when using a sufficiently large number of initializations.
Authors
Topic
Citation
Puthuparampil, J., Pong, H., and Sullivan, P., "Modelling and Optimization of Plug Flow Mufflers in Emission Control Systems," SAE Technical Paper 2017-01-1782, 2017, https://doi.org/10.4271/2017-01-1782.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 | ||
Unnamed Dataset 4 |
Also In
References
- Aaberg D. Generator set noise solutions :Controlling unwanted noise from on-site power systems 2007
- Sullivan J. W. and Crocker M. J. Analysis of concentric-tube resonators having unpartitioned cavities J. Acoust. Soc. Am. 64 1 207 1978
- Jayaraman K. and Yam K. Decoupling approach to modeling perforated tube muffler components J. Acoust. Soc. Am. 69 2 390 1981
- Thawani P. T. and Jayaraman K. Modeling and applications of straight-through resonators J. Acoust. Soc. Am. 73 4 1387 11389 1983
- Munjal M. L. , Rao K. N. , and Sahasrabudhe A. D. Aeroacoustic analysis of perforated muffler components J. Sound Vib. 114 2 173 188 1987
- Peat K. S. A numerical decoupling analysis of perforated pipe silencer elements J. Sound Vib. 123 2 199 212 1988
- Munjal M. L. Muffler Acoustics Formulas of Acoustics 2nd Mechel F. P. New York Springer 2008
- Yeh L. J. , Chang Y. C. , Chiu M. C. , and Lay G. J. Computer-aided optimal design of a single-chamber muffler with side inlet/outlet under space constraints J. Mar. Sci. Technol. 11 4 189 196 2003
- Yeh L.-J. , Chang Y.-C. , and Chiu M.-C. Application of genetic algorithm to the shape optimization of a constrained double-chamber muffler with extended tubes J. Mar. Sci. Technol. 12 3 2004
- Chiu M. C. and Chang Y. C. Shape optimization of multi-chamber cross-flow mufflers by SA optimization J. Sound Vib. 312 3 526 550 2008
- Chang Y. C. and Chiu M. C. Shape optimization of one-chamber perforated plug/non-plug mufflers by simulated annealing method Int. J. Numer. Methods Eng. 74 10 1592 1620 2008
- Chang Y.-C. and Chiu M.-C. The optimal design of multi-chamber side mufflers equipped with perforated cross-flow tubes and intruding tubes using simulated annealing J. Mech. 27 3 2011
- Chiu M.-C. and Chang Y.-C. Shaped optimization of multi-chamber mufflers with open-ended perforated inlets using a simulated annealing method 24th National Conference on Noise Control Engineering 2010, Noise-Con 10, Held Jointly with the 159th Meeting of the Acoustical Society of America 2010 3
- Chang Y.-C. , Chiu M.-C. , and Cheng M.-M. Optimum design of perforated plug mufflers using a neural network and a genetic algorithm Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci. 223 4 935 952 2009
- Chiu M.-C. and Chang Y.-C. Shape optimization of multi-chamber side inlet/outlet mufflers hybridized with multiple perforated intruding tubes using a genetic algorithm J. Mar. Sci. Technol. 21 3 2013
- Sullivan J. W. A method for modeling perforated tube muffler components. II. Applications J. Acoust. Soc. Am. 66 3 779 1979
- Datchanamourty B. Detailed Modelling of Mufflers With Perforated Tubes Using Substructure Boundary Element Method University of Kentucky 2004
- Bauer A. B. Impedance Theory and Measurements on Porous Acoustic Liners J. Aircr. 14 8 720 728 Aug. 1977
- Binois R. , Dauchez N. , Ville J.-M. , Perrey-Debain E. , and Beillard G. Modeling of cylindrical baffle mufflers for low frequency sound propagation Acoustics 2012
- Eriksson L. J. Higher order mode effects in circular ducts and expansion chambers J. Acoust. Soc. Am. 68 2 545 1980
- Byrd R. H. , Lu P. , Nocedal J. , and Zhu C. A Limited Memory Algorithm for Bound Constrained Optimization SIAM J. Sci. Comput. 16 5 1190 1208 Sep. 1995
- Dixon L. C. W. and Jha M. Parallel algorithms for global optimization J. Optim. Theory Appl. 79 2 385 395 Nov. 1993
- Voglis C. and Lagaris I. E. Towards ‘Ideal Multistart’. A stochastic approach for locating the minima of a continuous function inside a bounded domain Appl. Math. Comput. 213 1 216 229 2009
- Tu W. and Mayne R. W. An approach to multi-start clustering for global optimization with non-linear constraints Int. J. Numer. Methods Eng. 53 9 2253 2269 Mar. 2002
- Boender C. G. E. , Rinnooy Kan A. H. G. , Timmer G. T. , and Stougie L. A stochastic method for global optimization Math. Program 22 1 125 140 Dec. 1982
- Wu T. W. , Zhang P. , and Cheng C. Y. R. Boundary Element Analysis of Mufflers With an Improved Method for Deriving the Four-pole Parameters J. Sound Vib. 217 4 767 779 1998
- Beranek L. L. Balanced noise - criterion (NCB) curves J. Acoust. Soc. Am. 86 2 650 664 Aug. 1989
- Sound Research Laboratories Noise Control in Industry 3rd CRC Press 2002
- COMSOL - The Acoustics Module User’s Guide 2013
- Munjal M. L. , Vijayasree N. K. , and Paruchuri C. Flow resistance network analysis of the back-pressure of automotive mufflers Indian J. Eng. Mater. Sci. 20 5 336 349 2013
- Ringnér M. What is principal component analysis? Nat. Biotechnol. 26 3 2008