增材制造组件疲劳反应的实验分散:基于概率概率的统计方法
A Tridello1, C Boursier Niutta2, M Rossetto2
1Department of Mechanical and Aerospace Engineering, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129, Turin, Italy. andrea.tridello@polito.it.
Scientific reports
|September 15, 2023
概括
增材制造 (AM) 部件的制造缺陷导致了显著的疲劳数据分散. 本研究提出了一种统计方法来分析AM疲劳测试结果,考虑变化和改进数据解释.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 统计分析 统计分析
背景情况:
- 增材制造 (AM) 组件在疲劳测试结果中表现出很高的变化.
- 诸如毛孔和缺乏融合等制造缺陷显著影响疲劳寿命.
- 标准分析方法难以分离建筑方向等因素的影响,因为实验分散.
研究的目的:
- 开发和验证一个可靠的统计方法来分析AM标本的疲劳测试结果.
- 为应对AM疲劳数据的实验变异性所带来的挑战.
- 为了能够更准确地评估影响AM材料疲劳性能的因素.
主要方法:
- 提出了一种新的统计方法来分析AM疲劳测试数据.
- 该方法涉及将实验失败转移到使用估计的PSN曲线的循环参考数.
- 配置文件概率函数用于估计和解释疲劳强度在参考周期数的变化.
主要成果:
- 拟议的统计方法有效地处理了AM疲劳测试结果中固有的实验分散.
- 与现有文献数据集的验证证实了该方法的可靠性和准确性.
- 该方法可以通过管理数据变化来更清楚地识别影响因素.
结论:
- 开发的统计方法提供了一个可靠的框架,用于分析增材制造样本的疲劳数据.
- 这种方法通过减轻制造引起的变化的影响来增强对AM材料疲劳行为的理解.
- 准确分析AM疲劳数据对于可靠的组件设计和性能预测至关重要.
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