在自动化纤维放置复合材料中通过嵌套微力学进行非线性弹性和损伤预测
Hadas Hochster1, Gal Raanan1, Eyal Tiosano1
1School of Mechanical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.
Materials (Basel, Switzerland)
|July 30, 2025
概括
本研究引入了一种新的建模框架,用于预测自动化纤维放置 (AFP) 复合材料的机械行为,并考虑制造缺陷,如空隙和富含树脂的区域. 该模型准确地预测了复合材料的性能,有助于优化适用于苛刻应用的设计.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算力学 计算力学 计算力学
背景情况:
- 自动纤维放置 (AFP) 复合材料表现出复杂的机械行为,这是由于制造过程引起的中层结构变化造成的.
- 诸如树脂丰富的区域和拖拉间隙等变化显著影响AFP复合材料中的局部应力分布和全球材料反应.
研究的目的:
- 基于细胞的参数高保真性通用化方法 (PHFGMC) 提出一个基于层次嵌套的建模框架,用于预测AFP复合材料的有效弹性特性和非线性机械响应.
- 量化介质结构特征对AFP复合材料全球应力应变反应的影响.
主要方法:
- 在PHFGMC模型中,使用来自AFP复合板材微图的代表体积元素 (RVEs) 集成了微和中尺度分析.
- 分析了多个具有不同间隙模式的多个RVE配置,以捕捉制造诱导的特征.
- 使用PHFGMC框架的统一扩展来捕捉损害的开始和裂的传播.
主要成果:
- 对线性和非线性弹性行为的预测与碳纤维/环氧AFP标本的实验结果进行了验证,显示出良好的定量一致.
- 该研究揭示了与横向拉力负荷下的拖间隙和树脂丰富区域相关的故障机制.
- 该框架准确地预测了全球机械性能和局部行为.
结论:
- 嵌套的PHFGMC框架提供了一个强大的计算工具,用于准确预测AFP复合材料的机械性能.
- 通过详细的RVE建模,系统地考虑制造诱导的变化,对于优化AFP复合材料设计至关重要.
- 这种方法支持用于航空航天和其他高性能应用的先进复合材料的设计.
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