关于金属基增材制造工艺中的多尺度运输现象的审查
Miao Liu1,2, Zhongqiu Liu1,2, Baokuan Li2
1Key Laboratory for Ecological Metallurgy of Multimetallic Mineral (Ministry of Education), Northeastern University, Shenyang, China.
3D printing and additive manufacturing
|October 3, 2024
概括
数字模拟通过预测缺陷形成来帮助基于金属的增材制造 (MAM). 本次审查涵盖了物理和数据驱动的模型,以改善航空航天和生物医学中的工艺控制和缺陷避免.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算科学 计算科学
背景情况:
- 基于金属的增材制造 (MAM) 提供了高度的设计自由,但由于复杂的工艺参数,在实验性缺陷分析中面临挑战.
- 数字模拟对于理解多物理现象和预测MAM中缺陷演变至关重要.
- 现有的研究缺乏对MAM缺陷预测的数值模拟方法的全面审查.
研究的目的:
- 审查现有的MAM方法和基本现象.
- 基于规模 (单尺度和多尺度模型) 的数值模拟方法进行分类和分析.
- 探索数据驱动模型的潜力,作为MAM中物理驱动模型的补充.
主要方法:
- 审查关于MAM过程和缺陷形成的现有文献.
- 数字模拟方法的分类基于规模的三个类别.
- 讨论MAM的先进多尺度模型和数据驱动模型.
- 分析不同数值方法的预测目标,优点和弱点.
主要成果:
- 数字模拟在预测MAM现象和缺陷方面提供了准确性和经济性.
- 单尺度和多尺度模型为不同层次的缺陷演变提供了洞察力.
- 数据驱动模型,利用物理和实验数据,为MAM模拟提供了一个新的视角.
- 高预测准确度和效率有助于更好地控制参数和避免缺陷.
结论:
- 数字模拟对于推进基于金属的增材制造至关重要.
- 多尺度和数据驱动型号显示出增强预测准确性和计算效率的前景.
- 本综述为未来对MAM的数值模拟研究提供了参考.
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