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基于变压器的空间分辨率预测机械性能在电弧增材制造中的机械性能
Mohammad Keshmiri1, Shirin Dehgahi1, Abdullah Mohiuddin1
1Mechanical Engineering Department, University of Alberta, Edmonton, AB, Canada.
Scientific reports
|July 2, 2025
概括
一个新的数据驱动模型通过分析热史来预测线弧增材制造 (WAAM) 中的机械性能. 这种基于变压器的方法可以准确预测大型金属零件的性能变化,从而改善制造设计.
科学领域:
- 材料科学 材料科学 材料科学
- 制造业 工程 制造工程
- 计算机建模 计算建模
背景情况:
- 金属增材制造 (MAM),特别是丝弧增材制造 (WAAM),提供了设计自由,但由于热异质性,面临着由于空间变化的机械性能而面临的挑战.
- 对于大型WAAM组件来说,准确预测这些取决于位置的属性至关重要.
研究的目的:
- 开发一个数据驱动的时空模型,用于预测WAAM部件的位置依赖机械性质.
- 通过使动态排放率计算成为可能,提高热史采集的准确性.
主要方法:
- 一个基于变压器架构的模型被开发出来,可以从热历史中预测机械性能.
- 该框架包含了对不同温度和层范围的动态发射率计算.
- 系统地将性能与其他机器学习方法进行比较.
主要成果:
- 拟议的基于变压器的模型显示出强大的预测能力,即使数据集有限.
- 动态发射率计算显著减少了热历史采集中的错误.
- 该模型提供了先进的方法来预测机械性能的空间和时间演变.
结论:
- 数据驱动模型有效地预测WAAM中的位置依赖机械性质.
- 变压器架构提供了一种强大的方法来理解和控制增材制造中的属性变化.
- 研究位置感知形态学有助于解释模型预测和理解财产起源.
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