轿车车内声学包多目标优化与分析

贺岩松; 张辉; 夏小均; 赖诗洋; 何治桥

doi:10.13433/j.cnki.1003-8728.2017.0321

轿车车内声学包多目标优化与分析

doi: 10.13433/j.cnki.1003-8728.2017.0321

1.
重庆大学机械传动国家重点实验室, 重庆 400030;
2.
重庆大学汽车工程学院, 重庆 400030

基金项目:

国家自然科学基金项目（51275540）与重庆市研究生科研创新项目（CYB14036）资助

详细信息

作者简介:
贺岩松(1968-),教授,博士生导师,研究方向为车辆系统动力学与控制、噪声与振动控制等,hys68@sohu.com

计量
- 文章访问数: 182
- HTML全文浏览量: 34
- PDF下载量: 7
- 被引次数: 0
出版历程
- 收稿日期: 2015-08-17
- 刊出日期: 2017-03-05

Multi-objective Optimization Analysis of a Passenger Car's Interior Sound Packages

1.
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China;
2.
College of Automotive Engineering, Chongqing University, Chongqing 400030, China

摘要

摘要: 建立了轿车FE-SEA混合模型，把仿真值与试验结果进行对比，验证了模型的可靠性。以防火墙和地板各层声学包材料的种类和厚度为设计变量，驾驶员右耳旁声压级、声学包总重量和总价格为优化目标，采用正交试验和灰色关联分析相结合的方法确定了各层材料种类和厚度的最优水平。以各层材料的厚度为设计变量进行进一步研究，采用最优拉丁超立方设计抽取75组样本点并通过仿真计算其响应值，任选67组样本点建立Kring近似模型，其余8组样本点验证近似模型的可靠性。最后以该近似模型为基础执行多目标优化，与原始声学包相比，驾驶员头部声腔声压级降低了0.4 dB（A），重量减轻了33.21%，价格降低了14%。
- FE-SEA混合模型 /
- 声学包 /
- 灰色关联分析 /
- Kring近似模型
Abstract: FE-SEA (Finite element-statistical energy analysis) hybrid model of a passenger car was established, and verified the reliability of the model by comparing simulation results with experiment results. Taking each layer sound packages' material types and thickness of the firewall and floor as design variables, and selecting the sound pressure level (SPL) at driver's right ear, the total weight and total price of sound packages as optimization targets, the grey relational analysis (GRA) was coupled with orthogonal experiment methods to determine the optimal level of material types and thickness in each layer. Using thickness of each layer as design variables for the further study, the method of optimal Latin hypercube design was adopted to generate 75 sample points, and their response values were acquired through simulations, choose 67 sample points discretionarily to establish a Kring approximate model, and the remaining 8 sample points was used to verify the reliability of the approximate model. Finally, multi-objective optimization was performed based on this approximation model, compared with original sound packages, the SPL at driver's right ear decreases by 0.4 dB(A), the total weight and total price of sound packages decreases by 33.21% and 14% respectively.
- FE-SEA hybrid model /
- sound packages /
- grey relational analysis /
- Kring approximate model

HTML全文

参考文献(15)

[1]	Huang L Y, Krishnan R, Connelly T, et al. Development of a luxury vehicle acoustic package using SEA full vehicle model[R]. SAE Technical Paper 2003-01-1554, 2003
[2]	Prasanth S, Charpentier A, Fukui K, et al. Using the hybrid FE-SEA model of a trimmed full vehicle to reduce structure borne noise from 200 Hz to 1kHz[R]. SAE Technical Paper 2011-26-0020, 2011
[3]	陈书明.轿车中高频噪声预测与控制方法研究[D].长春:吉林大学,2011:111-128 Chen S M. Research on prediction and control methods of automobile middle and high frequency noise[D]. Changchun:JilinUniversity, 2011:111-128(in Chinese)
[4]	杨晓涛,谷正气,杨振东,等.汽车乘员舱多层吸声材料的多目标优化[J].振动与冲击,2013,32(4):21-25 Yang X T, Gu Z Q, Yang Z D, et al. Multi-target optimization of multilayer sound absorption material combinations in passenger compartment of a car[J]. Journal of Vibration and Shock, 2013,32(4):21-25(in Chinese)
[5]	姚德源,王其政.统计能量分析原理及其应用[M].北京:北京理工大学出版社,1995:6-17 Yao D Y, Wang Q Z. Theory and application of statistical energy analysis[M]. Beijing:Beijing Institute of Technology Press, 1995:6-17(in Chinese)
[6]	Charpentier A, Sreedhar P, Cordioli J, et al. Modeling process and validation of Hybrid FE-SEA method to structure-borne noise paths in a trimmed automotive vehicle[R]. SAE Technical Paper 2008-36-0574, 2008
[7]	Bloss B, Rao M D. A comparison between power injection and impulse response decay methods for estimating frequency averaged loss factors for SEA[R]. SAE Technical Paper 2003-01-1566, 2003
[8]	宋继强,王登峰,马天飞,等.汽车车身复杂子结构模态密度确定方法[J].吉林大学学报(工学版),2009,39(S2):269-273 Song J Q, Wang D F, Ma T F, et al. Calculation method of auto body complex sub-structure modal density[J]. Journal of Jilin University (Engineering and Technology Edition), 2009,39(S2):269-273(in Chinese)
[9]	Duval A, Rondeau J F, Bischoff L, et al. Generalized light-weight concepts:improving the acoustic performance of less than 2500 g/m2 insulators[R]. SAE Technical Paper 2009-01-2136, 2009
[10]	刘思峰,党耀国,方志耕,等.灰色系统理论及其应用[M]. 5版.北京:科学出版社,2010:4-15 Liu S F, Dang Y G, Fang Z G, et al. Grey system theory and application[M]. 5th ed. Beijing:Science Press, 2010:4-15(in Chinese)
[11]	Li C H, Tsai M J. Multi-objective optimization of laser cutting for flash memory modules with special shapes using grey relational analysis[J]. Optics & Laser Technology, 2009,41(5):634-642
[12]	Chiang K T, Chang F P. Optimization of the WEDM process of particle-reinforced material with multiple performance characteristics using grey relational analysis[J]. Journal of Materials Processing Technology, 2006,180(1-3):96-101
[13]	陈魁.试验设计与分析[M].北京:清华大学出版社,2005:97-100 Chen K. Design and analysis of experiments[M]. Beijing:Tsinghua University Press, 2005:97-100(in Chinese)
[14]	Sathyanarayanamurthy H, Chinnam R B. Metamodels for variable importance decomposition with applications to probabilistic engineering design[J]. Computers & Industrial Engineering, 2009,57(3):996-1007
[15]	Carlos C A C, Pulido G T, Lechuga M S. Handling multiple objectives with particle swarm optimization[J]. IEEE Transactions on Evolutionary Computation, 2004,8(3):256-279