Title :
Notice of Retraction
GA optimization On multi-chamber mufflers with open-ended intruding perforated inlets
Author :
Min-Chie Chiu ; Ying-Chun Chang
Author_Institution :
Dept. of Autom. Control Eng., Chungchou Inst. of Technol., ChangHua, Taiwan
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Recently, research on new techniques of single-chamber mufflers equipped with a non-perforated intruding tube has been addressed; however, the research work on multi-chamber mufflers conjugated with open-ended perforated intruding inlet-tubes which may dramatically increase the acoustical performance has been neglected. Therefore, the main purpose of this paper is not only to analyze the sound transmission loss (STL) of a multi-chamber open-ended perforated inlet-tube muffler but also to optimize the best design shape within a limited space. In this paper, the four-pole system matrix for evaluating the acoustic performance - sound transmission loss (STL) - is derived by using a decoupled numerical method. Moreover, a genetic algorithm (GA), a robust scheme used to search for the global optimum by imitating a genetic evolutionary process, has been used during the optimization process. Results reveal that the maximal STL is precisely located at the desired tone. In addition, it has been shown that the acoustic performance for both pure tone and broadband noise will increase if the muffler has more chambers.
Keywords :
exhaust systems; genetic algorithms; matrix algebra; pipes; four-pole system matrix; genetic algorithm; multichamber mufflers; open-ended intruding perforated inlets; single-chamber mufflers; sound transmission loss; Biological cells; Ducts; Electron tubes; Exhaust systems; Noise; Optimization; Propagation losses; decoupled numerical method; genetic algorithm; open-ended intruding perforated tube; space constraints;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584814