使用taguchi-grey关系分析和通过回归建模的损失来优化PETG FDM参数的多响应
P Thejasree1, N Manikandan1, N Rajesh2
1School of Engineering and Technology, Mohan Babu University (MBU), Tirupati, 517102, Andhra Pradesh, India.
Scientific reports
|November 25, 2025
概括
这项研究提高了聚乙烯四甲酸糖 (PETG) 部件的化沉积建模 (FDM) 性能. 一个回归模型优化参数,以提高增材制造中的效率,表面表面和尺寸精度.
科学领域:
- 材料科学与工程 材料科学与工程
- 制造业 制造技术 制造技术
- 聚合物科学 聚合物科学
背景情况:
- 增材制造 (AM),特别是沉积建模 (FDM),正在为复杂的零件制造获得引力.
- 聚乙烯四甲糖醇 (PETG) 是用于各种行业的FDM应用的多功能材料.
- 优化FDM过程参数对于实现所需的组件质量和效率至关重要.
研究的目的:
- 为FDM过程增强开发一个预测回归模型.
- 为了控制和优化聚乙烯四甲糖醇 (PETG) 的加工参数.
- 系统地分析关键FDM参数对打印时间,尺寸偏差和表面表面的影响.
主要方法:
- 实验设计 (DOE) 用于收集经验数据.
- 使用回归建模来建立过程变量与性能指标之间的关系.
- 进行统计分析以验证预测模型的准确性.
主要成果:
- 一个非常准确的预测模型被成功开发出来.
- 确定了PETG组件的最佳参数设置.
- 该模型展示了提高PETG组件效率,表面质量和尺寸精度的能力.
结论:
- 开发的回归模型为FDM流程优化和质量控制提供了实用指南.
- 这项研究为汽车,航空航天和生物医学等行业大规模采用基于PETG的FDM提供了有价值的见解.
- 该研究将实验调查与预测建模相结合,以更深入地了解FDM动态.
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