DRY SPOT PREDICTION SIMULATION AND DEFECT ANALYSIS OF RESIN-IMPREGNATED FIBER PROCESS FOR HIGH VOLTAGE INSULATED PULL ROD

Abstract

Abstract: Based on Volume of Fluid method, two-phase flow model of resin and air was established to describe vacuum assisted resin-impregnated fiber process for high voltage insulated pull rod. In the model, two kinds of two-phase flow sub-models were integrated, which separately describe the two-phase flow in the gaps between mould inner surfaces and fibre preform and the two-phase flow in mixed fibre preform. The geometric model of insulated pull pod was also established and then mesh generation was accomplished. By Finite Volume Method and using Fluent software, the two-phase flow model of resin and air was solved. In the whole mould area, the two-phase flow and dry spots formation were simulated. The correctness of simulation research was verified by experiments and the causes of dry spots were analyzed. Furthermore, thoughts and methods to eliminate dry spot defects were presented. Feasibility and effectiveness of some methods were verified by simulations and experiments.

Key words: volume of fluid method, dry spot, numerical simulation, defect analysis

CLC Number:

TB332

ZHANG Zhuo, YANG Wei, YAN Bing-yue, CHU Wei. DRY SPOT PREDICTION SIMULATION AND DEFECT ANALYSIS OF RESIN-IMPREGNATED FIBER PROCESS FOR HIGH VOLTAGE INSULATED PULL ROD[J]. Fiber Reinforced Plastics/Composites, 2019, 0(8): 11-16.

References

[1] 孟祥福, 陈美玉, 明璐. RTM工艺参数对复合材料缺陷控制的影响[J]. 热加工工, 2018, 47(20): 123-125.
[2] 蔡静楠. 复合材料RTM成型充模缺陷预测与结构影响分析[D]. 哈尔滨: 哈尔滨工业大学, 2017.
[3] Liu B, Bickerton S, Advani S G. Modelling and simulation of resin transfer moulding (RTM)-gate control, venting and dry spot prediction[J]. Composites Part A: applied science and manufacturing, 1996, 27(2): 135-141.
[4] Markicevic B, Heidera D, Advani S G. Stochastic modeling of preform heterogeneity to address dry spots formation in the VARTM process[J]. Composites Part A: Applied Science and anufacturing, 2005, 36: 851-858.
[5] Matsuzaki R , Kobayashi S , Todoroki A , et al. Flow control by progressive forecasting using numerical simulation during vacuum-assisted resin transfer molding[J]. Composites Part A: Applied Science and Manufacturing, 2013, 45:79-87.
[6] 祝颖丹, 王继辉, 田正刚, 等. LCM充模过程中的边缘效应[J]. 复合材料学报, 2005, 22(4): 6-10.
[7] 段跃新, 姚福军, 张佐光. RTM工艺模拟及干斑缺陷控制研究[J]. 材料工程, 2006(z1): 285-289.
[8] 戴福洪, 张博明, 杜善义. RTM工艺注模过程边缘效应模拟分析[J]. 复合材料学报, 2004, 24(2): 161-167.
[9] 杨波. 复合材料RTM工艺充模过程数值仿真与缺陷预测研究[D]. 哈尔滨: 哈尔滨工业大学, 2015.
[10] Yin X, Zarikos I, Karadimitriou N K, et al. Direct simulations of two-phase flow experiments of different geometry complexities using volume-of-fluid (VOF) method[J]. Chemical Engineering Science, 2019, 195: 820-827.
[11] 齐文, 刘东, 赵俊利, 等. RTM工艺充模过程模拟研究进展[J]. 玻璃钢/复合材料, 2015(12): 105-109.
[12] 刘赵淼, 刘丽昆, 申峰. Y型微通道两相流内部流动特性[J]. 力学学报, 2014, 46(2): 209-216.
[13] Alkam M K , Al-Nimr M A. Transient non-Darcian forced convection flow in a pipe partially filled with a porous material[J]. Int. J. Heat Mass Transfer, 1998, 41(2): 347-356.
[14] 杨俊英. 树脂传递模塑工艺过程的数值模拟[D]. 济南: 山东大学, 2007.
[15] 成天健, 鲁先孝, 张兴刚. 复合材料增强纤维渗透率测量及VARI成型工艺仿真计算研究[J]. 工程塑料应用, 2011, 39(7): 38-40.
[16] 董抒华. 纤维预制件渗透率的预测及其浸润过程有限元模拟[D]. 济南: 山东大学, 2014.
[17] 翟保利, 钟连兵. 数值模拟在叶根灌注工艺中的应用[J]. 玻璃钢/复合材料, 2014(11): 54-57.