一种快速有效的方法来预测碳/环氧复合材料的强度,这些复合材料具有树脂缺失缺陷
Hongfeng Li1, Feng Li1, Lingxue Zhu2
1School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China.
Polymers
|March 28, 2024
概括
一种新的方法可以准确地预测碳/环氧复合材料具有缺陷的抗拉强度. 单变的切比舍夫预测模型 (UCPM) 提供了高效的分析,经过高准确度的实验结果验证.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算建模 计算建模
背景情况:
- 碳/环氧复合材料在航空航天和汽车工业中至关重要.
- 树脂缺失缺陷显著降低复合材料的机械性能,特别是拉伸强度.
- 准确预测缺陷复合材料的抗拉强度对于结构完整性至关重要.
研究的目的:
- 开发一种新的,有效的方法来预测含有树脂缺失缺陷的碳/环氧复合材料的抗拉强度.
- 建立有限元模型构建的参数化脚本,以提高计算效率和减少手工工作量.
- 调查切比舍夫多项式顺序对预测准确性的影响.
主要方法:
- 使用维度减小和切比舍夫多项式开发一个单变量切比舍夫预测模型 (UCPM).
- 创建基于Python的参数化脚本,用于有限元模型生成.
- 使用真空助理树脂输液 (VARI) 处理的样本进行实验验证,缺陷大小不同.
- 使用统计错误评估模型性能,并分析不同的多项式顺序 (第2-9).
主要成果:
- 与实验数据相比,UCPM显示了拉伸强度的高预测精度,最大误差为5.20%.
- 较低的多项式顺序导致不足,而增加顺序提高了预测准确性.
- 过高的订单导致过度装配,从而降低了预测准确度.
结论:
- 拟议的UCPM是一种有效和准确的工具,用于预测碳/环氧复合材料的抗拉强度,这些复合材料具有树脂缺失缺陷.
- 基于Python的参数化脚本显著提高了有限元模型构建的效率.
- 切比舍夫多项式顺序的最佳选择对于平衡准确性和避免过量/不足的选择至关重要.
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