Training and validation dataset of milling processes for time series prediction

Documents:
-Design of Experiments: Information on the paths such as the technological values of the experiments
-Recording information: Information about the recordings with comments
-Data: All recorded datasets. The first level contains the folders for training and validation both with and without the workpiece. In the next level, the individual test executions are located. The individual recordings are stored in the form of a JSON file. This consists of a header with all relevant information such as the signal sources. This is followed by the entries of the recorded time series.
-NC-Code: NC programs executed on the machine
-Workpiece: Pictures of the raw parts as well as the machined workpieces. The pictures show the unfinished part on the left, the training part in the middle and a part with two validation runs on the right.

Experimental data:
-Machine: DMG CMX 600 V
-Material: S235JR, 2007 T4
-Tools:
-VHM-Fräser HPC, TiSi, ⌀ f8 DC: 5mm
-VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm
-VHM-Fräser HPC, TiSi, ⌀ f8 DC: 20mm
-Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm
-Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm
-Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm
-Workpiece blank dimensions: 150x75x50mm

License: This work is licensed under a Creative Commons Attribution 4.0 International License. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).