在3D打印的短纤维增强聚合物中,拉伸和压缩强度的预测和验证
Timothy Russell1, David A Jack1
1Department of Mechanical Engineering, Baylor University, Waco, TX 76798, USA.
Polymers
|September 9, 2023
概括
一种新方法可以预测3D打印碳纤维复合材料的内部强度变化. 这种方法增强了有限元分析,用于在大规模增材制造中准确估计材料属性.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 添加剂制造 添加剂制造 添加剂制造
背景情况:
- 3D打印,特别是大面积增材制造 (LAAM),可以生产大型复合材料组件.
- 短纤维增强聚合物在空间上表现出不同的微结构行为,影响机械性能.
- 准确预测异性质刚性和强度对于可靠的组件设计至关重要.
研究的目的:
- 验证一种方法来预测3D打印的烯丁 styrene (ABS) 复合珠的内部,空间变化的强度特性.
- 开发一个建模框架,以表征局部异型性和强度.
- 将这些本地属性整合到有限元素框架中,用于大规模的财产估计.
主要方法:
- 开发并验证了一种方法,用于预测单个3D打印珠子内的空间变化的机械性能.
- 进行了空间变化的微观结构行为的表征.
- 使用有限元框架来整合局部属性,以便有效地估计硬度和强度.
主要成果:
- 建模框架准确地预测了有效的强度和刚度,与实验数据密切结合.
- 预测有效的纵向压力强度在1%以内,拉伸强度在10%以内.
- 预测有效的纵向压力刚度在3%以内,拉伸刚度在50%以内.
结论:
- 经过验证的方法提供了一种可靠的方法来预测3D打印的短纤维增强聚合物的机械性能.
- 开发的有限元框架允许对LAAM组件进行准确的批量属性估计.
- 这项工作有助于改进增材制造复合结构的设计和性能预测.
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