增材制造碳增强ABS蜂复合结构和机器学习的属性预测
Meelad Ranaiefar1, Mrityunjay Singh2, Michael C Halbig1
1NASA Glenn Research Center, Cleveland, OH 44135, USA.
Molecules (Basel, Switzerland)
|June 27, 2024
概括
在蜂巢结构中使用碳增强的乙烯 (ABS) 复合材料进行3D打印,显示出较小的打印特征的孔隙性降低和强度提高. 这项研究指导了高性能轻质材料的设计.
科学领域:
- 添加剂制造 添加剂制造 添加剂制造
- 材料科学 材料科学 材料科学
- 聚合物复合材料 聚合物复合材料
背景情况:
- 对高性能,轻质结构的日益增长的需求推动了对3D打印碳增强聚合物复合材料的兴趣.
- 详细了解处理-微观结构-属性关系对于优化这些先进材料至关重要.
研究的目的:
- 调查打印参数对烯丁乙烯 (ABS) 和其碳增强变体 (CNT-ABS,ABS-5wt.%CF) 微观结构和机械性能的影响.
- 探索生物灵感蜂结构的潜力,用于新的3D打印应用.
主要方法:
- 化丝制造 (FFF) 用于制造蜂巢几何形状的ABS,CNT-ABS和ABS-5wt.%CF标本.
- 使用显微镜分析横截面,并将打印参数 (层高度,六进制尺寸) 与孔隙性相关联.
- 压缩测试评估了打印结构的机械性能.
主要成果:
- 随着印刷层高度降低和六角形 (六角形) 尺寸的减少,观察到孔隙性减少.
- 烯丁乙烯 (ABS) 显示出更高的压力强度,而碳纳米管增强的ABS (CNT-ABS) 显示出更高的最终压力强度.
- 证实了孔隙度和增加印刷层高度和六边形尺寸之间的负相关性,导致六边形尺寸较大时强度下降.
结论:
- 由ABS,CNT-ABS和ABS-5wt.% CF复合材料制成的蜂结构显示出高级3D打印应用的巨大潜力.
- 该研究开发了一种机器学习模型 (0.92准确度,0.96R2) 来预测性能,有助于针对目标属性的设计优化.
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