注塑短纤维增强复合材料汽车尾门内板轻量化设计

doi:10.19562/j.chinasae.qcgc.2022.05.017

Abstract

Abstract:

In this paper， a lightweight design procedure including the parallel optimization of material and structure is proposed for the inner panel of tail door made of injection-molded short-fiber-reinforced polymer composite in a car. A layered material model is built with consideration of the layered distribution feature of short fiber， on the basis of which a parameterized constitutive model for material is put forward to rapidly predict its mechanical performance when its parameters are changed. An extraction and mapping method for material parameters is proposed according to the distribution features of fiber orientation， so effectively enhancing the accuracy of structural analysis. Considering the design variables of material and structure， combined with Kriging surrogate model and boundary-searching based improved particle swarm optimization algorithm， a lightweight design procedure for composite tail door inner panel is proposed. As a final result， the parallel optimization of material and structure is fulfilled while assuring the design requirements for various working conditions with a lightweighting result of 10.5% mass reduction achieved.

Key words: vehicles, tail-door inner panel, injection-molded short-fiber-reinforced polymer composite, parameterized constitutive model, parallel optimization, lightweight design

Zeyang Li,Zhao Liu,Ping Zhu. Lightweight Design of Vehicle Tail-door Inner Panel Made of Injection Molded Short Fiber Reinforced Polymer Composite[J].Automotive Engineering, 2022, 44(5): 789-798.

Figures/Tables 16

材料参数	变化范围
$a s$	0.5~0.9
$a c$	0.5~0.9
$V f$	0.15~0.25
$L f$ /mm	0.8~2.0
$h$	4~10

响应	$K 1$	$K 2$	$S 1$	$S 2$	$f 1$
$R 2$	0.98	0.97	0.96	0.92	0.99

变量	$X 1$ /mm	$X 2$ /%	$X 3$ /mm	$X 4$ /mm	$X 5$ /mm	$X 6$ /mm	$X 7$ /mm	M/kg
初始设计	0.8	20.0	3.2	3.2	3.2	3.3	3.2	7.6
优化结果	1.99	19.8	3.5	3.7	3.6	3.4	2.9	6.8

响应	$K 1 / (N ? m m - 1)$	$K 2 / (N ? m m - 1)$	$S 1 / k N$	$S 2 / k N$	$f 1 / H z$
初始设计	86.5	77.3	2.3	1.7	12.0
优化结果	89.7	77.4	2.8	1.8	11.1

References 15

1	范子杰，桂良进，苏瑞意. 汽车轻量化技术的研究与进展［J］. 汽车安全与节能学报， 2014， 5（1）： 1-16.
	FAN Zijie， GUI Liangjin， SU Ruiyi. Research and development of automotive lightweight technology ［J］. Journal of Automotive Safety and Energy， 2014， 5（1）： 1-16.
2	MEHDIPOUR H， CAMANHO P P， BELINGARDI G. Elasto-plastic constitutive equations for short fiber reinforced polymers ［J］. Composites Part B-Engineering， 2019， 165：199-214.
3	FU S Y， LAUKE B， MAI Y W. Science and engineering of short fibre reinforced polymer composites［M］. Woodhead Publishing， 2009.
4	王庆，卢家海，刘钊，等. 碳纤维增强复合材料汽车保险杠的轻量化设计［J］. 上海交通大学学报， 2017， 51（2）： 136-141.
	WANG Qing， LU Jiahai， LIU Zhao， et al. A lightweight design of carbon fiber reinforced plastic auto bumper ［J］. Journal of Shanghai Jiao Tong University， 2017， 51（2）： 136-141.
5	蒋荣超，刘越，刘大维，等. 扭转梁悬架碳纤维复合材料横梁结构优化［J］. 汽车工程， 2020， 42（2）： 264-269.
	JIANG Rongchao， LIU Yue， LIU Dawei， et al. Study on lightweighting of CFRP bumper beam using entropy⁃based TOPSIS approach ［J］. Automotive Engineering， 2020， 42（2）： 264-269.
6	任明伟，洪治国，周玉敬，等. 复合材料防撞梁低速碰撞优化设计［J］. 复合材料学报， 2021： 1-8.
	REN Mingwei， HONG Zhiguo， ZHOU Yujing， et al. Low-speed collision optimization design of composite bumper ［J］. Acta Materiae Compositae Sinica， 2021： 1-8.
7	FU X W， RICCI S， BISAGNI C. Minimum-weight design for three dimensional woven composite stiffened panels using neural networks and genetic algorithms ［J］. Composite Structures， 2015， 134： 708-715.
8	TAO W， LIU Z， ZHU P， et al. Multi-scale design of three dimensional woven composite automobile fender using modified particle swarm optimization algorithm ［J］. Composite Structures， 2017， 181： 73-83.
9	卢家海，汪霞，寇宏滨. 碳纤维复合材料避震塔强度性能多尺度优化设计［J］. 汽车技术， 2021（1）： 51-56.
	LU Jiahai， WANG Xia， KOU Hongbin. Multi-scale optimization design on strength performance of carbon fiber reinforced composite shock absorption tower［J］. Automobile Technology， 2021 （1）： 51-56.
10	MORTAZAVIAN S， FATEMI A. Effects of fiber orientation and anisotropy on tensile strength and elastic modulus of short fiber reinforced polymer composites ［J］. Composites Part B-Engineering， 2015， 72： 116-129.
11	LAUNAY A， MAITOURNAM M H， MARCO Y， et al. Multiaxial fatigue models for short glass fiber reinforced polyamide - part I： nonlinear anisotropic constitutive behavior for cyclic response ［J］. International Journal of Fatigue， 2013， 47： 382-389.
12	LI Z， LIU Z， XUE Y， et al. A novel algorithm for significantly increasing the fiber volume fraction in the reconstruction model with large fiber aspect ratio ［J］. Journal of Industrial Textiles， 2021.
13	LI Z， LIU Z， ZHANG L， et al. An innovative computational framework for the analysis of complex mechanical behaviors of short fiber reinforced polymer composites ［J］. Composite Structures， 2021， 277： 114594.
14	LIU Z， LU J， ZHU P. Lightweight design of automotive composite bumper system using modified particle swarm optimizer ［J］. Composite Structures， 2016， 140： 630-643.
15	LIU Z， LI Z， ZHU P， et al. A parallel boundary search particle swarm optimization algorithm for constrained optimization problems ［J］. Structural and Multidisciplinary Optimization， 2018， 58（4）： 1505-1522.

[1]	LI Huan, HUANG Ying, ZHANG Fu-Jun, ZHAO Yu, GE Yan-Wu. [J]. , 2016, 38(12): 1420 -1426 .
[2]	HAO Han, WANG Si-南, LI Xiao, LIU Zong-Wei, ZHAO Fu-Quan. [J]. , 2017, 39(1): 1 -8 .
[3]	XU Cheng-Shan, JIANG Fa-Chao, SONG Sen-Nan, TIAN Guang-Yu. [J]. , 2017, 39(1): 9 -14 .
[4]	JIANG Ting, DAI Bing. [J]. , 2016, 38(12): 1459 -1466 .
[5]	ZHANG Yi-Bing, 吕Jian-Jun , YUAN Guang-Hui. [J]. , 2016, 38(12): 1467 -1470 .
[6]	ZHANG Lei, ZHANG Jin-Qiu, LUO Tao, BI Zhan-Dong, YAO Jun. [J]. , 2016, 38(12): 1494 -1499 .
[7]	CUI An, LI Bin, WANG Xue-Liang, ZHANG Shi-Zhan. [J]. , 2016, 38(12): 1521 -1525 .
[8]	CHU Liang, ZHAO Di, LI Wen-Hui. [J]. , 2017, 39(1): 61 -65 .
[9]	FENG Chong, ZHANG Dong-Hao, LUO Yu-Gong, LI Ke-Qiang. [J]. , 2017, 39(1): 66 -72 .
[10]	HAN Xiao-Mei, LIN Xue-Dong, LI De-Gang. [J]. , 2017, 39(1): 23 -27 .

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Lightweight Design of Vehicle Tail-door Inner Panel Made of Injection Molded Short Fiber Reinforced Polymer Composite

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