An effective model for fiber breakage prediction of injection-molded long fiber reinforced thermoplastics

被引:10
作者
Kang, Junyang [1 ]
Huang, Ming [1 ,2 ]
Zhang, Mengfei [1 ]
Zhang, Na [1 ]
Song, Gang [1 ]
Liu, Yongzhi [1 ]
Shi, Xianzhang [1 ]
Liu, Chuntai [1 ]
机构
[1] Zhengzhou Univ, Natl Engn Res Ctr Adv Polymer Proc Technol, Zhengzhou, Peoples R China
[2] Dalian Univ Technol, State Key Lab Struct Anal Ind Equipment, Dalian, Peoples R China
关键词
Long fiber; fiber breakage; computational modelling; thermoplastic composites; injection molding; PROCESSING CONDITIONS; LENGTH; POLYPROPYLENE; COMPOSITES; STRENGTH; ORIENTATION; EXTRUSION; MODULUS; MOTION; IMPACT;
D O I
10.1177/0731684420915643
中图分类号
TB33 [复合材料];
学科分类号
摘要
Fiber length is an important factor affecting the mechanical properties of long fiber reinforced thermoplastic (LFRT). When LFRT is processed by injection molding, the strong shear flow usually leads to severe fiber breakage. Therefore, it is a crucial issue to reduce the loss of fiber length as much as possible during composite molding. Current work focused on constructing an effective model for predicting fiber breaking caused by shear stress during melt filling. Based on the Oseen formula, the disturbance of liquid flow caused by a single external force was studied, and the force acceptance formula of fiber immersed in flow field was derived. A mechanical model for characterizing the degree of fibers buckling and breaking and the shear stress was constructed by the Euler buckling criterion. To verify the model, glass fiber reinforced polypropylene (GF/PP) composites with initial fiber length of 3 mm and 6 mm was subjected to shear at the specific shear rate by using a rotating rheometer. The length of GF after sheared was measured by fiber length distribution analyser. The breaking ratio of fibers was predicted using the new model, and the predicted results were in good agreement with experiment, although more comparisons with experiments are necessary.
引用
收藏
页码:473 / 484
页数:12
相关论文
共 50 条
[31]   Strength improvement in injection-molded jute-fiber-reinforced polylactide green-composites [J].
Arao, Yoshihiko ;
Fujiura, Takayasu ;
Itani, Satoshi ;
Tanaka, Tatsuya .
COMPOSITES PART B-ENGINEERING, 2015, 68 :200-206
[32]   A Fatigue Damage Model for Life Prediction of Injection-Molded Short Glass Fiber-Reinforced Thermoplastic Composites [J].
Amjadi, Mohammad ;
Fatemi, Ali .
POLYMERS, 2021, 13 (14)
[33]   Fatigue damage model for injection-molded short glass fibre reinforced thermoplastics [J].
Nouri, H. ;
Meraghni, F. ;
Lory, P. .
INTERNATIONAL JOURNAL OF FATIGUE, 2009, 31 (05) :934-942
[34]   Fiber breakage behavior of long glass fiber-reinforced polypropylene through the convergent channel [J].
Tian, Guoqiang ;
Liang, Xianrong ;
Wang, Mengmeng ;
Lei, Yu ;
Jin, Gang ;
Wang, Xiaolin .
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES, 2017, 36 (22) :1629-1638
[35]   Injection-molded natural fiber-reinforced polymer composites–a review [J].
M. S. Rabbi ;
Tansirul Islam ;
G. M. Sadiqul Islam .
International Journal of Mechanical and Materials Engineering, 2021, 16
[36]   Improving Numerical Modeling Accuracy for Fiber Orientation and Mechanical Properties of Injection Molded Glass Fiber Reinforced Thermoplastics [J].
Ivan, Riccardo ;
Sorgato, Marco ;
Zanini, Filippo ;
Lucchetta, Giovanni .
MATERIALS, 2022, 15 (13)
[37]   A Novel "Fiber-Spacing" Model of Tensile Modulus Enhancement by Shortening Fibers to Sub-Millimeter in an Injection-Molded Glass Fiber Reinforced Polymer Bulk Molding Compound (GFRP-BMC) [J].
Faudree, Michael C. ;
Nishi, Yoshitake ;
Gruskiewicz, Michael .
MATERIALS TRANSACTIONS, 2014, 55 (08) :1292-1298
[38]   Impact of fiber dispersion on fiber breakage in simple shear flow of long fiber-reinforced thermoplastics [J].
Hohoff, Paula ;
Perez, Hector Sebastian ;
Wiegand, Jan-Joris ;
Yanev, Angel ;
Osswald, Tim .
PHYSICS OF FLUIDS, 2024, 36 (12)
[39]   Young's modulus prediction of long fiber reinforced thermoplastics [J].
Garesci, F. ;
Fliegener, S. .
COMPOSITES SCIENCE AND TECHNOLOGY, 2013, 85 :142-147
[40]   Modeling of uncertainties in long fiber reinforced thermoplastics [J].
Hohe, Joerg ;
Beckmann, Carla ;
Paul, Hanna .
MATERIALS & DESIGN, 2015, 66 :390-399