five

LMD Inconel 718 single tracks

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/3978981
下载链接
链接失效反馈
官方服务:
资源简介:
Description of dataset doi:10.5281/zenodo.3978982 Deposition of Inconel 718 single tracks with process parameters: - Nominal powers = 600, 300, 500, 400, 700, 200 (W) - Nominal velocities = 300, 450, 600, 750, 900, 1050 (mm/min) - Powder flux = 0.032 (g/s) - Nr. nozzles = 4 - Argon carrier flux = 4 (l/min) - Argon shielding gas flux = 15 (l/min) - Substrate temperature = Ambient The dataset is constituted by: - Melt pool images, in file Images.zip, acquired at 200fps with 850 nm narrow band filter, 5ms exposure time. 400x400 px size - trackData_20191008.csv containing:     - t: timestamp in ms. Synchronized with imageData_20191008.csv     - Xpos: laser spot X position in workspace     - Ypos: laser spot Y position in workspace     - Zpos: laser spot Z position in workspace     - G1: binary signal indicating active deposition (G1=1) or not     - D: track width measured at [Xpos(t), Ypos(t), Zpos(t)]     - H: track heigth measured at [Xpos(t), Ypos(t), Zpos(t)]     - A: track section area measured at  [Xpos(t), Ypos(t), Zpos(t)]     - sdres: roughness index of section profile (std. deviation w.r.t. smoothed profile)     - Vnom: laser spot translational speed in m/s (computed from Xpos, Ypos, Zpos and t data)     - Pnom: nominal power     - V: Vnom in mm/min - imageData_20191008.csv containing:     - t: timestamp in ms. Synchronized with trackData_20190212.csv (some frames may have been lost)     - I_mean: mean image intensity (only on red channel)     - I_mean_crop: mean image intensity computed on central cropped image area (180x180 pixels)     - M_I_mean: I_mean after application of 8-sample moving average     - M_I_mean_crop: I_mean_crop after application of 8-sample moving average     - fileName: associated image file name     - beamON: laserON signal obtained from thresholding on images (background noise = off, minimal intensity level = on)
创建时间:
2024-07-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作