复合材料科学与工程Issue(1)：92-101,10.DOI:10.19936/j.cnki.2096-8000.20260128.013
复合材料电池箱体RTM成型工艺仿真及孔隙缺陷分析
Simulation of RTM molding process and analysis of void defect in composite battery case
摘要
Abstract
The resin transfer molding(RTM)of the lower case of composite battery pack was designed,and simulation analysis of mold filling process and prediction of void defects based on PAM-RTM software.Firstly,the difference of mold filling time between two schemes in three kinds of outlet states was compared,and the influence of injection pressure and resin viscosity on RTM molding time was analyzed;secondly,the pressure change of the position near the injection port during the mold filling process was analyzed;finally,the distribution of macro/micro scale void defects in the components and the influence of injection pressure on void content were predicted,and the flow rate optimization theory was combined to control the resin.The results show that the injection pressure in the mold cavity can reduce the void content.The results show that the larger the pressure difference between the injec-tion and discharge ports in the mold cavity,the lower the molding time,and it is affected by the injection position.There is a linear relationship between injection pressure and mold filling time,the lower the pressure,the more ob-vious the effect of shortening the mold filling time and the greater the viscosity of the longer the mold filling time.The void content is related to the front flow rate,the higher the injection pressure leads to the faster flow rate,the macro void formation decreases,and the micro void increases;and the flow rate optimization method of injection can significantly reduce the overall porosity level,but prolongs the molding cycle time.关键词
电池包下箱体/树脂传递模塑/仿真模拟/孔隙缺陷/流速优化/复合材料Key words
lower case of battery pack/resin transfer molding(RTM)/numerical simulation/void defect/flow rate optimization/composites分类
通用工业技术引用本文复制引用
张赛,邹文涛,宋通,程从前,曹铁山,吴晓重,孟宪明,赵杰..复合材料电池箱体RTM成型工艺仿真及孔隙缺陷分析[J].复合材料科学与工程,2026,(1):92-101,10.基金项目
政府间国际科技创新合作重点专项项目(2019YFE0124100) （2019YFE0124100）
