Data: Prediction of electron beam welding penetration depth using machine learning-enhanced computational fluid dynamics modelling
收藏DataCite Commons2023-10-30 更新2024-07-13 收录
下载链接：
https://cord.cranfield.ac.uk/articles/dataset/Data_Prediction_of_electron_beam_welding_penetration_depth_using_machine_learning-enhanced_computational_fluid_dynamics_modelling/24427033
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资源简介：
Electron beam probing data: beam characteristics of raidii at welding direction and cross-section direction. Experiments setup: 40–60 kV for the accelerating voltage, 25–45 mA for the beam current, and a welding speed of 500–700 mm/min.
提供机构：
Cranfield Online Research Data (CORD)
创建时间：
2023-10-24
