使用多变量过程能力分析评估化沉积模型过程的框架
Moath Alatefi1, Abdulrahman M Al-Ahmari1, Abdullah Yahia AlFaify1
1Industrial Engineering Department, College of Engineering, King Saud University, Riyadh, Saudi Arabia.
PloS one
|December 5, 2024
概括
本研究引入了一种多变量工艺能力指数 (MPCI),用于评估增材制造 (AM) 工艺,特别是化沉积建模 (FDM). 结果显示,FDM工艺无法达到标准规格,需要进行调整以改善质量控制.
科学领域:
- 制造业 工程 制造工程
- 质量控制 质量控制 质量控制
- 材料科学 材料科学 材料科学
背景情况:
- 增材制造 (AM) 工艺需要持续改进,以实现先进的应用.
- 对AM过程输出与规范进行评估对于质量保证至关重要.
- 统一的过程能力指数可能会误导AM的多相关质量特征.
研究的目的:
- 建议使用多变量过程能力指数 (MPCI) 评估AM流程的一般方法框架.
- 通过使用开发的MPCI框架来评估化沉积建模 (FDM) 过程的能力.
- 根据变异分析,识别 AM 流程需要改进的领域.
主要方法:
- 使用MPCI开发了一种用于AM过程评估的方法框架.
- 作为调查案例,选择的融合存储建模 (FDM).
- 对于关键质量特征 (QCs) 的确定的规范限制.
- 检查了QC数据的正常性,稳定性和相关性,以满足MPCI假设.
- 通过大样本模拟估计了MPCI,并计算了不符合的百分比 (PNC).
- 进行了FDM过程的敏感性分析,并确定了可指定的变化原因.
主要成果:
- 所有QC的FDM工艺平均值都发生了变化,部分直径呈现出最大的变化.
- 过程数据没有正常分布;一个转换算法有效地减少了斜率.
- 发现FDM工艺无法满足大多数规格限制,除了非常粗的公差.
- 灵敏度分析提供了对不同条件下的工艺性能的见解.
结论:
- 拟议的MPCI框架为评估复杂的AM流程提供了一个强大的方法.
- FDM过程需要大幅改进,以满足典型的制造规格.
- 了解数据的分布和变化是有效的AM流程控制和增强的关键.
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