VARTM simulation and high temperature mechanical properties of large tow CF/EP automobile floor

doi:10.16085/j.issn.1000-6613.2021-1211

Abstract

Abstract:

The lightweight of automobile is a global problem. The large tow carbon fiber (CF) reinforced composites with low cost are considered to be an important way to realize the lightweight and structured of automobile. However, for the liquid forming process of large-tow CF, the micro-wetting in the fiber bundle is usually difficult because of too many filaments in a single bundle, which may lead to defects such as dry spots and bubbles. At the same time, the traditional automobile electrophoresis drying process also poses a challenge to the high temperature performance of composites. In view of this, the fiber permeability test and the simulation and optimization of vacuum assisted resin transfer molding (VARTM) for automobile floor were carried out by using 0°/90° biaxial stitching of large-tow CF cloth and high temperature resistant epoxy (EP) resin. The forming mold was designed and manufactured, and the automobile floor sample was trial-produced successfully. The observation of super depth of field microscope showed that the fiber bundles and interlayers were infiltrated well, and there were no obvious defects. High temperature on-line tensile and strain test indicated that temperature had a significant effect on tensile modulus but little effect on strength, and the strain recovery ability was good at 180℃, which revealed that the composites still had excellent strength and creep resistance at high temperature. The results were of great significance to guide whether the composites could pass the traditional electrophoretic drying process of automobile.

Key words: large tow, carbon fiber, permeability, vacuum assisted resin transfer molding (VARTM), numerical simulation, high temperature performance

摘要：

汽车轻量化是全球面临的共同问题，采用更具成本优势的大丝束碳纤维（CF）增强复合材料是实现汽车轻量化结构化的重要途径。然而，大丝束碳纤维在液体成型时，单束过多的纤维丝易导致纤维束内微观浸润困难，易产生干斑、气泡等缺陷。同时，传统的汽车电泳烘干工艺对复合材料的高温性能提出了挑战。鉴于此，本文采用0°/90°双轴向缝编大丝束碳纤布和耐高温环氧树脂（EP），开展了纤维渗透率测试和汽车地板真空辅助树脂传递成型（VARTM）模拟优化研究，设计、制造了成型模具，成功试制出汽车地板样件，超景深显微镜观测显示纤维束内和层间浸润良好，无明显缺陷。高温在线拉伸和应变测试显示，温度对材料拉伸模量影响显著而对强度影响不大，180℃高温下应变恢复能力良好，表明该材料在高温下仍具备较好的强度和抗蠕变性能，该结果对指导复合材料能否通过传统汽车的电泳烘干工艺具有重要意义。

关键词: 大丝束, 碳纤维, 渗透率, 真空辅助树脂传递成型, 数值模拟, 高温性能

CLC Number:

TB332

HUANG Ming, ZU Yunqiu, GAO Kang, WEI Wei, ZHANG Na, ZHU Huaping, LIU Chuntai. VARTM simulation and high temperature mechanical properties of large tow CF/EP automobile floor[J]. Chemical Industry and Engineering Progress, 2022, 41(5): 2546-2554.

黄明, 祖韵秋, 高亢, 韦韡, 张娜, 朱华平, 刘春太. 大丝束CF/EP汽车地板VARTM模拟与高温力学性能[J]. 化工进展, 2022, 41(5): 2546-2554.

Figures/Tables 18

References 25

1	DANIYAN I A, MPOFU K, ADEODU A O, et al. Development of carbon fibre reinforced polymer matrix composites and optimization of the process parameters for railcar applications[J]. Materials Today: Proceedings, 2021, 38: 628-634.
2	Large tow carbon fibre benefits sporting goods[J]. Reinforced Plastics, 1999, 43(3): 38-41.
3	周嫄娜. 大小丝束碳纤维性能评价与研究[D]. 上海: 东华大学, 2016.
	ZHOU Yuanna. Evaluation and research of different sizes tow of carbon fiber properties[D]. Shanghai: Donghua University, 2016.
4	徐爱武, 梁燕, 蒋玲玲. 大丝束碳纤维发展现状及我国技术瓶颈和发展建议[J]. 合成纤维, 2020, 49(6): 19-23.
	XU Aiwu, LIANG Yan, JIANG Lingling. Development status of large tow carbon fiber and its technical bottleneck and development proposals in China[J]. Synthetic Fiber in China, 2020, 49(6): 19-23.
5	吉用秋, 俞成涛, 邱睿, 等. 大丝束碳纤维产业发展现状及面临的问题[J]. 合成纤维工业, 2019, 42(3): 64-68.
	JI Yongqiu, YU Chengtao, QIU Rui, et al. Development status and problems of large tow carbon fiber industry[J]. China Synthetic Fiber Industry, 2019, 42(3): 64-68.
6	HIREMATH N, YOUNG S, GHOSSEIN H, et al. Low cost textile-grade carbon-fiber epoxy composites for automotive and wind energy applications[J]. Composites Part B: Engineering, 2020, 198: 108156.
7	刘强, 赵龙, 黄峰, 等. 基于PAM-RTM软件对VARI工艺流道模拟研究[C]//第十四届全国复合材料学术会议. 湖北宜昌, 2006: 345-349.
	LIU Qiang, ZHAO Long, HUANG Feng, et al. Simulation of flow channel in VARI process based on PAM-RTM software[C]//The 14th National Conference on Composite Materials. Yichang, Hubei, 2006: 345-349.
8	胡亚丽, 张续柱, 杨朝明, 等. 耐高温绝缘GFRP管的真空辅助树脂传递成型工艺研究[J]. 高分子材料科学与工程, 2002, 18(4): 198-200.
	HU Yali, ZHANG Xuzhu, YANG Zhaoming, et al. Study on vacuum assisted resin transfer molding for high-temperature resisting and insulating GFRP tube[J]. Polymeric Materials Science & Engineering, 2002, 18(4): 198-200.
9	TAMAKUWALA V R. Manufacturing of fiber reinforced polymer by using VARTM process: a review[J]. Materials Today: Proceedings, 2021, 44: 987-993.
10	SEBA JOEMON R, TOJO J, GEORGE ABRAHAM P, et al. Numerical investigation of VARTM process using finite volume method[J]. Materials Today: Proceedings, 2021, 46: 590-593.
11	邱婧婧, 段跃新, 梁志勇. RTM工艺参数对树脂充模过程影响的模拟与实验研究[J]. 复合材料学报, 2004, 21(6): 70-74.
	QIU Jingjing, DUAN Yuexin, LIANG Zhiyong. Computer simulation and actual experiments of RTM mold-filling process affected by processing parameters[J]. Acta Materiae Compositae Sinica, 2004, 21(6): 70-74.
12	孙玉敏, 段跃新, 李丹, 等. 风机叶片RTM工艺模拟分析及其优化[J]. 复合材料学报, 2005, 22(4): 23-29.
	SUN Yumin, DUAN Yuexin, LI Dan, et al. Computer simulation analysis and optimization for wind turbine blade[J]. Acta Materiae Compositae Sinica, 2005, 22(4): 23-29.
13	刘刚, 罗楚养, 李雪芹, 等. 复合材料厚壁连杆RTM成型工艺模拟及制造验证[J]. 复合材料学报, 2012, 29(4): 105-112.
	LIU Gang, LUO Chuyang, LI Xueqin, et al. Process simulation and manufacture testing of composite thick-wall drag brace via RTM technology[J]. Acta Materiae Compositae Sinica, 2012, 29(4): 105-112.
14	GAJJAR T, SHAH D B, JOSHI S J, et al. Carbon fiber permeability characterization using VARTM process[J]. Materials Today: Proceedings, 2021, 44: 1560-1563.
15	李嘉禄, 吴晓青, 冯驰. RTM中纤维渗透率预测的研究进展[J]. 复合材料学报, 2006, 23(6): 1-8.
	LI Jialu, WU Xiaoqing, FENG Chi. Research progress on the permeability prediction of fiber in RTM[J]. Acta Materiae Compositae Sinica, 2006, 23(6): 1-8.
16	周云飞, 方荀, 王文琪, 等. RTM中纤维结构对树脂浸渍影响的数值模拟[J]. 华东理工大学学报(自然科学版), 2017, 43(2): 162-170.
	ZHOU Yunfei, FANG Xun, WANG Wenqi, et al. Numerical simulation of the influence of fibrous structure on resin filling in RTM process[J]. Journal of East China University of Science and Technology (Natural Science Edition), 2017, 43(2): 162-170.
17	GOLESTANIAN H. Preform permeability variation with porosity of fiberglass and carbon mats[J]. Journal of Materials Science, 2008, 43(20): 6676-6681.
18	LUO Y W, VERPOEST I, HOES K, et al. Permeability measurement of textile reinforcements with several test fluids[J]. Composites Part A: Applied Science and Manufacturing, 2001, 32(10): 1497-1504.
19	BICKERTON S, SOZER E M, GRAHAM P J, et al. Fabric structure and mold curvature effects on preform permeability and mold filling in the RTM process. Part I. Experiments[J]. Composites Part A: Applied Science and Manufacturing, 2000, 31(5): 423-438.
20	KIM J I, HWANG Y T, CHOI K H, et al. Prediction of the vacuum assisted resin transfer molding(VARTM) process considering the directional permeability of sheared woven fabric[J]. Composite Structures, 2019, 211: 236-243.
21	WEITZENBÖCK J R, SHENOI R A, WILSON P A. Radial flow permeability measurement. Part A: Theory[J]. Composites Part A: Applied Science and Manufacturing, 1999, 30(6): 781-796.
22	HOES K, DINESCU D, SOL H, et al. New set-up for measurement of permeability properties of fibrous reinforcements for RTM[J]. Composites Part A: Applied Science and Manufacturing, 2002, 33(7): 959-969.
23	HAN K K, LEE C W, RICE B P. Measurements of the permeability of fiber preforms and applications[J]. Composites Science and Technology, 2000, 60(12/13): 2435-2441.
24	ZHOU F P, KUENTZER N, SIMACEK P, et al. Analytic characterization of the permeability of dual-scale fibrous porous media[J]. Composites Science and Technology, 2006, 66(15): 2795-2803.
25	BINÉTRUY C, HILAIRE B, PABIOT J. The interactions between flows occurring inside and outside fabric tows during RTM[J]. Composites Science and Technology, 1997, 57(5): 587-596.

t/s	S_x /m	S_x²/10^-3m²	t/s	S_x /m	S_x²/10^-3m²
0	0	0	580	0.09	8.1
6	0.01	0.1	720	0.10	10
22	0.02	0.4	890	0.11	12.1
53	0.03	0.9	1070	0.12	14.4
93	0.04	1.6	1281	0.13	16.9
151	0.05	2.5	1485	0.14	19.6
234	0.06	3.6	1790	0.15	22.5
330	0.07	4.9	2030	0.16	15.6
449	0.08	6.4	2390	0.17	28.9

t/s	S_x /m	S_x²/10^-3m²	t/s	S_x /m	S_x²/10^-3m²
0	0	0	580	0.09	8.1
6	0.01	0.1	720	0.10	10
22	0.02	0.4	890	0.11	12.1
53	0.03	0.9	1070	0.12	14.4
93	0.04	1.6	1281	0.13	16.9
151	0.05	2.5	1485	0.14	19.6
234	0.06	3.6	1790	0.15	22.5
330	0.07	4.9	2030	0.16	15.6
449	0.08	6.4	2390	0.17	28.9

参数	设置值
重力方向	+z
树脂黏度/Pa·s	0.35
树脂密度/kg·m^-3	1100
增强体类型	碳纤维
渗透率K_x 、K_y （K₁、K₂）/m²	1.152×10^-11
孔隙率/%	60
铺层角度	0°/90°
进胶压力/MPa	0.1
抽气口压力/MPa	0.02

参数	设置值
重力方向	+z
树脂黏度/Pa·s	0.35
树脂密度/kg·m^-3	1100
增强体类型	碳纤维
渗透率K_x 、K_y （K₁、K₂）/m²	1.152×10^-11
孔隙率/%	60
铺层角度	0°/90°
进胶压力/MPa	0.1
抽气口压力/MPa	0.02

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