多角度冲击工况下铝/CFRP复合管诱导槽多目标优化设计

doi:10.19562/j.chinasae.qcgc.2023.07.019

Abstract

Abstract:

Oblique impact is common in vehicle accidents， and a reasonable inductive structure of energy absorbing components is crucial for comprehensive crashworthiness. In this paper， the design method of inductive structure based on aluminum/CFRP hybrid tube is studied. Firstly， a high-precision finite element model of aluminum/CFRP hybrid tube is established， which is verified by experiments. Then， based on the multi-angle compression conditions， the effect of the location parameter， number parameter， shape parameter and size parameter of the induction groove on the crashworthiness of aluminum/CFRP hybrid tube is studied respectively. The results show that the location parameter has the greatest influence on the comprehensive crashworthiness. Setting a rectangular induction groove in the upper part of the hybrid tube can largely reduce the peak force and enhance the energy absorption stability. Finally， based on the NSGA-II algorithm， the multi-objective optimization design of the induction groove is carried out. The optimization results show that the peak force of the hybrid tude is reduced by 35.5% on the premise of ensuring the comprehensive energy absorption under different weight schemes， effectively solving the problem of balancing high energy absorption and low peak crushing force. The research results provide important guidance in the design and application of energy absorbing components.

Key words: induction groove, aluminum/CFRP hybrid tube, multi-angle impact, comprehensive crashworthiness

Dengfeng Wang, Chunda Lu, Hongyu Liang. Multi-objective Optimization Design of Induction Groove for Aluminum/CFRP Hybrid Tube Under Multi-angle Compression Condition[J].Automotive Engineering, 2023, 45(7): 1286-1298.

Figures/Tables 31

References 28

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方案	0°	10°	20°	30°
case1	0.1	0.2	0.3	0.4
case2	0.25	0.25	0.25	0.25
case3	0.4	0.3	0.2	0.1

属性	拉伸		压缩		剪切
属性	轴向	径向	轴向	径向	剪切
密度/（g·cm^-3）	1.6
弹性模量/GPa	154	8.65	144	10.3	4.68
抗拉强度/MPa	2 356	34	1 119	186	64.78
泊松比	0.35	0.03	0.288

性能指标	试验值	仿真值	误差
PCF/kN	61.09	65.02	6.40%
E_total/kJ	3.84	3.61	-5.99%
F_mean/kN	34.94	32.8	-6.54%

性能指标	上50%位置	整体高度	下50%位置
PCF/kN	110.55	113.48	114.19
SEA_case1/（kJ·kg^-1）	13.13	7.97	6.41
SEA_case2/（kJ·kg^-1）	13.99	8.23	7.62
SEA_case3/（kJ·kg^-1）	14.84	8.50	8.85

性能指标	1个	2个	3个
PCF/kN	105.95	110.55	101.97
SEA_case1/（kJ·kg^-1）	14.62	13.13	12.74
SEA_case2/（kJ·kg^-1）	15.51	13.99	14.06
SEA_case3/（kJ·kg^-1）	16.40	14.84	15.39

Multi-objective Optimization Design of Induction Groove for Aluminum/CFRP Hybrid Tube Under Multi-angle Compression Condition

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Figures/Tables 31

References 28

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性能指标	方形	半圆形	V形
PCF/kN	105.95	90.77	95.68
SEA_case1/（kJ·kg^-1）	14.62	13.38	12.15
SEA_case2/（kJ·kg^-1）	15.51	14.56	13.48
SEA_case3/（kJ·kg^-1）	16.40	15.75	14.81

性能指标	1.5 mm	2.5 mm	3.5 mm	4.5 mm
PCF/kN	100.97	103.62	105.95	107.34
SEA_case1/（kJ·kg^-1）	13.98	14.67	14.62	14.35
SEA_case2/（kJ·kg^-1）	14.81	15.68	15.51	15.18
SEA_case3/（kJ·kg^-1）	15.64	16.69	16.40	16.01

序号	d/mm	h/mm	PCF/kN	SEA_0°/（kJ·kg^-1）	SEA_10°/（kJ·kg^-1）	SEA_20°/（kJ·kg^-1）	SEA_30°/（kJ·kg^-1）
1	2.05	90.909	104.37	15.93	16.59	12.99	12.02
2	2.95	34.091	101.38	14.86	18.45	16.07	11.43
3	2.77	79.545	105.15	15.74	15.91	15.96	12.21
4	2.59	113.636	106.26	18.86	14.31	11.57	11.33
5	2.41	11.364	91.11	18.43	18.41	15.69	11.32
6	3.50	56.818	104.97	16.78	17.63	13.91	10.07
7	1.50	68.182	100.85	17.62	15.97	16.17	11.52
8	3.32	102.273	107.50	16.47	16.34	16.08	11.79
9	1.68	22.727	98.09	15.41	19.37	15.24	12.83
10	2.23	45.455	102.58	16.18	18.05	14.33	11.41
11	3.14	0	76.72	17.11	15.45	13.73	12.74
12	1.86	125	104.77	13.87	13.39	11.03	10.27
13	2.43	16.67	80.52	18.36	16.69	15.45	8.40
14	2.17	83.33	104.63	17.45	15.32	15.84	12.09
15	2.03	50	102.69	15.75	18.37	11.12	12.44

响应指标	R²	RMSE
PCF	0.908	0.091
SEA_case1	0.963	0.091
SEA_case2	0.902	0.072
SEA_case3	0.939	0.053
可接受精度范围	>0.9	<0.1

性能指标		样本点13	样本点14	样本点15
PCF/kN	预测值	88.56	104.42	106.01
	仿真值	80.52	104.63	102.69
	误差	-9.98%	0.20%	-3.23%
SEA_case1/ （kJ·kg^-1）	预测值	13.36	13.99	14.69
	仿真值	13.17	14.40	13.57
	误差	-1.46%	2.83%	-8.27%
SEA_case2/ （kJ·kg^-1）	预测值	15.28	14.81	15.07
	仿真值	14.73	15.18	14.43
	误差	-3.75%	2.49%	-4.44%
SEA_case3/ （kJ·kg^-1）	预测值	16.67	15.59	15.49
	仿真值	16.29	15.96	15.29
	误差	-2.36%	2.26%	-1.36%

算法参数	设置值
种群规模	12
迭代次数	20
交叉率	0.9
交叉分布指数	10
突变分布指数	20

性能指标	预测模型	仿真模型	误差值
PCF/kN	87.78	96.56	9.09%
SEA_case1/（kJ·kg^-1）	14.84	15.58	4.78%
SEA_case2 /（kJ·kg^-1）	16.46	16.56	0.59%
SEA_case3/（kJ·kg^-1）	17.49	17.53	0.25%

性能指标	优化前	优化后	性能改善
PCF/kN	149.76	96.56	-35.52%
SEA_case1/（kJ·kg^-1）	15.45	15.58	+0.84%
SEA_case2 /（kJ·kg^-1）	16.42	16.56	+0.85%
SEA_case3/（kJ·kg^-1）	17.40	17.53	+0.75%