Failure of chopped carbon fiber Sheet Molding Compound (SMC) composites under uniaxial tensile loading: Computational prediction and experimental analysis

被引:43
作者
Chen, Zhangxing [1 ,2 ]
Tang, Haibin [2 ,3 ]
Shao, Yimin [1 ]
Sun, Qingping [2 ,3 ]
Zhou, Guowei [2 ,4 ]
Li, Yang [2 ]
Xu, Hongyi [2 ]
Zeng, Danielle [2 ]
Su, Xuming [2 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China
[2] Ford Motor Co, Res & Adv Engn, Dearborn, MI 48121 USA
[3] Nanjing Univ Aeronaut & Astronaut, Jiangsu Prov Key Lab Aerosp Power Syst, Coll Energy & Power Engn, Nanjing 210016, Jiangsu, Peoples R China
[4] Ohio State Univ, Coll Engn, Columbus, OH 43212 USA
关键词
SMC; Tensile failure; RVE; Orientation tensor; MECHANICAL-PROPERTIES; NUMERICAL-SIMULATION; POLYMER COMPOSITES; GLASS-FIBER; STRENGTH; BEHAVIOR; MODEL; DAMAGE; ORIENTATION; MODULUS;
D O I
10.1016/j.compositesa.2018.12.021
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a computational framework to predict the tensile failure of chopped carbon fiber SMC composites based on the Representative Volume Element (RVE) model. In the framework, a conforming mesh-based reconstruction algorithm is developed to generate mesostructure RVE models of SMC based on the statistical characteristics. Moreover, constitutive models are proposed for the three phases in SMC composites: fiber chip, matrix, and interface. The model predictions are validated by coupon-level experimental tests on SMC samples of various chip orientation distributions. The meso-scale failure mechanism and failure strength predicted by the RVE models are in good agreement with the experimental results. The presented study demonstrates the capability of the present modeling framework in the design of composites materials with complex micro- and meso- structure.
引用
收藏
页码:117 / 130
页数:14
相关论文
共 48 条
[1]   THE USE OF TENSORS TO DESCRIBE AND PREDICT FIBER ORIENTATION IN SHORT FIBER COMPOSITES [J].
ADVANI, SG ;
TUCKER, CL .
JOURNAL OF RHEOLOGY, 1987, 31 (08) :751-784
[2]  
Altendorf H., 2011, 3D Morphological Analysis and Modeling of Random Fiber Networks
[3]   Multi-inclusion unit cell models for metal matrix composites with randomly oriented discontinuous reinforcements [J].
Böhm, HJ ;
Eckschlager, A ;
Han, W .
COMPUTATIONAL MATERIALS SCIENCE, 2002, 25 (1-2) :42-53
[4]   Predicting Fatigue Damage in Interphase of Short Fiber Reinforced Rubber Composites Under Transverse Load [J].
Chen, Lili ;
Gu, Boqin .
POLYMER COMPOSITES, 2018, 39 (05) :1455-1467
[5]  
Chen Z, 2017, SAE TECHNICAL PAPER
[6]   Multiscale finite element modeling of sheet molding compound (SMC) composite structure based on stochastic mesostructure reconstruction [J].
Chen, Zhangxing ;
Huang, Tianyu ;
Shao, Yimin ;
Li, Yang ;
Xu, Hongyi ;
Avery, Katherine ;
Zeng, Danielle ;
Chen, Wei ;
Su, Xuming .
COMPOSITE STRUCTURES, 2018, 188 :25-38
[7]   Comparison between voxel and consistent meso-scale models of woven composites [J].
Doitrand, A. ;
Fagiano, C. ;
Irisarri, F. -X. ;
Hirsekorn, M. .
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2015, 73 :143-154
[8]   3D Modelling of random cellulosic fibrous networks based on X-ray tomography and image analysis [J].
Faessel, M ;
Delisée, C ;
Bos, F ;
Castéra, P .
COMPOSITES SCIENCE AND TECHNOLOGY, 2005, 65 (13) :1931-1940
[9]   Modulus Measurement for Prepreg-based Discontinuous Carbon Fiber/Epoxy Systems [J].
Feraboli, Paolo ;
Peitso, Elof ;
Cleveland, Tyler ;
Stickler, Patrick B. .
JOURNAL OF COMPOSITE MATERIALS, 2009, 43 (19) :1947-1965
[10]   Characterization of Prepreg-Based Discontinuous Carbon Fiber/Epoxy Systems [J].
Feraboli, Paolo ;
Peitso, Elof ;
Deleo, Francesco ;
Cleveland, Tyler ;
Stickler, Patrick B. .
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES, 2009, 28 (10) :1191-1214