在使用贝叶斯方法和随机森林替代模型的不同打印参数下,对3D打印组件的名义弹性模量评估.
Jin Zhang1, Lili Lu2, Ping Feng3
1College of Art Design, The College of Post and Telecommunication of WIT, Wuhan, Hubei, China.
这项研究引入了一种高效的替代模型,用于精确校准3D打印材料的弹性特性. 非破坏性方法确保了增材制造中的组件安全性和一致性.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 增材制造 增材制造 增材制造
背景情况:
- 对于复杂的几何形状和减少废物,3D打印在先进制造业中的应用正在增长.
- 精确的材料弹性特性对于结构设计的安全性和一致性至关重要.
- 对于3D打印元件的机械性能评估,存在有限的非破坏性方法.
研究的目的:
- 开发一种高效的替代模型,用于3D打印零件中材料弹性常数的高精度校准.
- 为了使增材制造组件的非破坏性机械性能评估.
主要方法:
- 用于3D打印样品的化沉积建模 (FDM).
- 运营模式分析 (OMA) 在横向光束条件下获取模式信息.
- 贝叶斯模型更新与随机森林算法和马尔科夫链蒙特卡洛 (MCMC) 结合用于参数校准.
主要成果:
- 显著减少计算和测量模态频率之间的偏差.
- 更新计算和测量模式形状之间的模式保证标准 (MAC) 值超过0.99.
- 在组件层面实现了结构弹性模块的准确校准.
结论:
- 拟议的贝叶斯替代模型为校准3D打印材料的弹性性质提供了一种实用,非破坏性的方法.
- 这种方法提高了增材制造中的组件安全性和一致性.
- 该技术可扩展到各种3D打印产品结构.
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