对PA/松木生物质复合材料的错误建模和错误控制研究
Jiaming Dai1, Yanling Guo1, Haoyu Zhang1
1Department of Mechanical Engineering, College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.
Polymers
|July 30, 2025
概括
将松生物质添加到聚胺 (PA) 中可以提高激光烧结 (LS) 的精度. 这项研究开发了理论和数据驱动模型,以预测和补偿LS部件的维度错误,提高精度.
科学领域:
- 材料科学 材料科学 材料科学
- 添加剂制造 添加剂制造 添加剂制造
- 机械工程 机械工程
背景情况:
- 激光烧结 (LS) 是一种关键的增材制造技术,但精度问题限制了其民用应用.
- 通过LS制造的聚胺 (PA) 零件经常存在尺寸错误.
- 生物质材料显示出作为填充剂的潜力,以提高LS零件的印刷精度.
研究的目的:
- 分析PA/松树生物质复合材料的材料特性.
- 调查使用PA/生物质原料制造的LS制造部件的错误控制方法.
- 开发和比较理论和数据驱动的模型来预测和补偿尺寸错误.
主要方法:
- 建立了一个理论数学模型,包括材料特性,工艺参数和设备因素.
- 利用基于实验数据的BP神经网络开发了一个数据驱动模型.
- 研究了这两种模型的预测能力和补偿效应.
主要成果:
- 一种尼龙/松木生物质复合物,其松木含量为3 wt%,产生了具有20 MPa抗拉强度和10 °C烧结预热窗口的部件.
- 理论模型 (62-73%) 和数据驱动模型 (81-91%) 都预测了尺寸偏差.
- 补偿使整体尺寸偏差从1.61-3.49%减少到0.41-0.50%.
结论:
- 聚乙烯/生物质复合材料为提高LS零件精度提供了可行的解决方案.
- 数据驱动模型在预测维度错误方面明显优于理论模型.
- 错误补偿策略有效地提高了LS制造的零件的精度等级.
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