2021
DOI: 10.32604/sv.2021.09729
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Improving the Morphological Parameters of Aluminum Foam for Maximum Sound Absorption Coefficient using Genetic Algorithm

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Cited by 6 publications
(10 citation statements)
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“…The benchmarking method was used to compare the coded results with the coded results in the Lu article. According to the results obtained, there was a good agreement between the coding of the results of the Lu model [ 25 ]. The optimization of genetic algorithm was performed using competition method (tournament) by selecting members to produce offspring and applying mutations.…”
Section: Methodsmentioning
confidence: 92%
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“…The benchmarking method was used to compare the coded results with the coded results in the Lu article. According to the results obtained, there was a good agreement between the coding of the results of the Lu model [ 25 ]. The optimization of genetic algorithm was performed using competition method (tournament) by selecting members to produce offspring and applying mutations.…”
Section: Methodsmentioning
confidence: 92%
“…In the previous study ( https://doi.org/10.32604/sv.2021.09729 ) [ 25 ], at first, the models of sound propagation in the porous absorbers of metal foams was investigated and according to the objectives and possibilities, the Lu model was selected. Using a genetic algorithm, the parameters affecting the SAC such as Ω, D and d of the pore were optimized.…”
Section: Methodsmentioning
confidence: 99%
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“…The aluminum alloy foam shows a variety of unique properties, such as lightweight, shock-absorbing ability, soundabsorbing ability, and thermal isolating ability, which are suitable for the aforementioned requirements, owing to its closed cell structure inside the foam [1,2]. Because of these properties, aluminum alloy foams have already been put to practical use and have been studied in various fields, such as architectural materials, crash-absorbing materials in automobiles, heat insulators, and acoustic materials [3][4][5][6][7][8][9][10][11]. It is well known that these properties are easily lowered due to the non-uniformity of the pore structure in the foam.…”
Section: Introductionmentioning
confidence: 99%
“…In the previous studies (Jafari et al, 2020;2021), the morphological parameters of metal foam were optimised using the local search algorithm and genetic algorithm. Using the results obtained from the PSO in this work and previous studies, readers who are looking for a suitable algorithm for making optimised metal foam can more easily choose from the proposed algorithms.…”
Section: Introductionmentioning
confidence: 99%