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Indexed by : Article

Document Code : 000442528400099

First Author : Shuming Chen

Correspondence Author : 常亚兵

Author : 朱文波

Date of Publication : 2018-07-18

Journal : POLYMERS

Included Journals : SCI  

Affiliation of Author(s) : Jilin Univ

Place of Publication : SWITZERLAND

Discipline : 工学

Funded by : National Natural Science Foundation ；Special Project of Jilin Province-University Joint Construction

Document Type : J

Volume : 10

Issue : 7

ISSN : 2073-4360

Key Words : grey relational analysis; multi-objective particle swarm optimization; acoustic performances; Ethyle

Teaching and Research Group : State Key Lab Automot Simulat & Control

Abstract : 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 modifie

First-Level Discipline : 机械工程

Translation or Not : no