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Open AccessArticle

Multi-Objective Optimization of Acoustic Performances of Polyurethane Foam Composites

1
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
2
School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China
*
Author to whom correspondence should be addressed.
Polymers 2018, 10(7), 788; https://doi.org/10.3390/polym10070788
Received: 22 May 2018 / Revised: 11 July 2018 / Accepted: 16 July 2018 / Published: 18 July 2018
(This article belongs to the Special Issue Polymeric Foams)
Polyurethane (PU) foams are widely used as acoustic package materials to eliminate vehicle interior noise. Therefore, it is important to improve the acoustic performances of PU foams. In this paper, the grey relational analysis (GRA) method and multi-objective particle swarm optimization (MOPSO) algorithm are applied to improve the acoustic performances of PU foam composites. The average sound absorption coefficient and average transmission loss are set as optimization objectives. The hardness and content of Ethylene Propylene Diene Monomer (EPDM) and the content of deionized water and modified isocyanate (MDI) are selected as design variables. The optimization process of GRA method is based on the orthogonal arrays L9(34), and the MOPSO algorithm is based on the Response Surface (RS) surrogate model. The results show that the acoustic performances of PU foam composites can be improved by optimizing the synthetic formula. Meanwhile, the results that were obtained by GRA method show the degree of influence of the four design variables on the optimization objectives, and the results obtained by MOPSO algorithm show the specific effects of the four design variables on the optimization objectives. Moreover, according to the confirmation experiment, the optimal synthetic formula is obtained by MOPSO algorithm when the weight coefficient of the two objectives set as 0.5. View Full-Text
Keywords: grey relational analysis; multi-objective particle swarm optimization; acoustic performances; Ethylene Propylene Diene Monomer; polyurethane foam composites grey relational analysis; multi-objective particle swarm optimization; acoustic performances; Ethylene Propylene Diene Monomer; polyurethane foam composites
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Chen, S.; Zhu, W.; Cheng, Y. Multi-Objective Optimization of Acoustic Performances of Polyurethane Foam Composites. Polymers 2018, 10, 788.

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