A new open dataset from a milling process – data for classification and estimation of tool life

This data descriptor introduces a data set from a CNC machining process which includes vibration and current data recorded for 14 cutting tools used from their initial state until failure. Cuboidal samples made of 42CrMo4 material were used and milled clockwise. The research setup (Haas VF-1 and Beckhoff PAC system), experimental procedures and data were described. The data set has been made publicly available for further research and development and contains all raw and aggregated data with metadata from 968 milling cycles. Data can be used for the classification of tool condition or fault prediction, which is widely used in intelligent prediction maintenance systems.

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Publication Details

Journal
Scientific Data
Published
2025-04-17
DOI
https://doi.org/10.1038/s41597-025-04923-y
Citations
5
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
3.57
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article

A new open dataset from a milling process – data for classification and estimation of tool life

Grzegorz Piecuch, Tomasz Żabiński
5 citations
Scientific Data
Advanced machining processes and optimization
3.57
article

A new open dataset from a milling process – data for classification and estimation of tool life

Grzegorz Piecuch, Tomasz Żabiński
article en
5 citations

Abstract

This data descriptor introduces a data set from a CNC machining process which includes vibration and current data recorded for 14 cutting tools used from their initial state until failure. Cuboidal samples made of 42CrMo4 material were used and milled clockwise. The research setup (Haas VF-1 and Beckhoff PAC system), experimental procedures and data were described. The data set has been made publicly available for further research and development and contains all raw and aggregated data with metadata from 968 milling cycles. Data can be used for the classification of tool condition or fault prediction, which is widely used in intelligent prediction maintenance systems.

Scientific DataVol. 12(1)
Rzeszów University of Technology (PL), University of Rzeszów (PL)
Responsible consumption and production
Openalex Percentile: Top 8%
Advanced machining processes and optimization
3.57
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