
Finite Element Simulation of Short-chopped Glass Fiber Composites and a Fast Generation Algorithm for Their Random Distribution
YU Jiuyang, ZHANG Tianyi, LIU Bowen, MA Linwei, YANG Peiyan
Finite Element Simulation of Short-chopped Glass Fiber Composites and a Fast Generation Algorithm for Their Random Distribution
The shear, transverse mechanical properties, and durability of composite materials largely depend on the interfacial strength between the fibers and the matrix. The interfacial strength of composites typically relies on the size, shape, properties, and spatial distribution of the fibers and resin matrix. The paper proposes a numerical simulation method suitable for composite materials. Short-chopped glass fiber composites were chosen as the research object for finite element simulation. A fast generation algorithm for the random distribution of fibers is provided, and the influence of short-chopped glass fiber length on the mechanical properties of sheet molding compounds is analyzed. The results show that the elastic modulus of short-chopped glass fiber sheet molding compounds increases first and then levels off with the increase in fiber length. By comparing random and regular structures, the rationality of the calculation method is demonstrated. The randomness of fiber distribution has a relatively small impact on the macroscopic elastic constants of composite materials.
Short-chopped fiber reinforcement / Random distribution model / Numerical simulation / Fiber length / Elastic constant
1 |
王明道,姜宁,赵新涛,等.纤维增强热塑性树脂基复合材料固相复合成型工艺研究进展[J].材料科学与工艺,2024,32(4):95-110.
|
2 |
党婧,王凯,肇研.碳纤维增强热塑性树脂基复合材料界面性能研究[J].化工新型材料,2024,52(4):142-145.
|
3 |
陈平,陆春,于祺,等.纤维增强热塑性树脂基复合材料界面研究进展[J].材料科学工艺,2007,15(5):665-669.
|
4 |
|
5 |
蔡建.玻璃钢成型技术[J].工程塑料应用,2003(2):66-70.
|
6 |
|
7 |
胡婉欣.玻璃纤维增强尼龙6吸波复合材料的制备与性能研究[D].西安:西安建筑科技大学,2024.
|
8 |
|
9 |
|
10 |
|
11 |
|
12 |
|
13 |
|
14 |
|
15 |
|
16 |
|
17 |
|
18 |
|
19 |
北京航空航天大学.一种颗粒随机分布的复合材料2D细观结构建模方法:CN202010287490.3[P].2020-08-14.
|
20 |
|
21 |
中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会. 纤维增强塑料拉伸性能试验方法:GB/T1447—2005 [S].北京:中国标准出版社,2005.
|
22 |
尚士朋.基于商业有限元软件的周期性材料等效性能预测均匀化实施新方法[D].大连:大连理工大学,2017.
|
23 |
|
24 |
李凌岩,周金宇,马馨远.基于3D打印的三维短纤维增强复合材料强度预测分析[J].工程塑料应用,2022,50(1):109-115.
|
25 |
江真.短切碳纤维/乙烯基酯树脂片状模塑料拉伸性能分析[D].哈尔滨:哈尔滨工业大学,2018.
|
26 |
|
27 |
章继峰,王振清,周健生,等.基于Python-Abaqus复合材料代表性体积元的数值模型[J].宇航材料工艺,2009,39(3):25-29.
|
28 |
|
/
〈 |
|
〉 |