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MULTI-OBJECTIVE OPTIMIZATION OF SOUND PACKAGE PARAMETERS FOR INTERIOR HIGH FREQUENCY NOISE OF HEAVY-DUTY TRUCK USING GREY THEORY

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Indexed by : Article

Document Code : 000364399500007

First Author : Shuming Chen

Author : G. Chen,J. Song

Date of Publication : 2015-12-01

Journal : INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY

Included Journals : SCI  

Affiliation of Author(s) : Jilin Univ

Place of Publication : SOUTH KOREA

Discipline : 工学

Funded by : National Natural Science Foundation project ;Specialized Research Fund for the Doctoral Program of H

Document Type : J

Volume : 16

Issue : 6

Page Number : 947-957

ISSN : 1229-9138

Key Words : Multi-objective optimization; Grey relational analysis; Taguchi method; Statistical energy analysis;

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

Abstract : This article presents a new idea by applying different sound package parameters of to improve the acoustic performance of the commercial vehicle cab. A statistical energy analysis model of the commercial vehicle cab was created, and the SPL of the interior noise for the commercial vehicle cab was predicted and validated at speed of 80 km/h. The contributions of some major subsystems to interior noise were obtained at 80 km/h. Two major characteristics of interior SPL and total weight of sound packages were determined as the optimization targets. The thicknesses of the sound packages for floor,

First-Level Discipline : 机械工程

Translation or Not : no

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