Multivariate time series dataset for predicting surface roughness and dimensional error in longitudinal turning

The dataset provides multivariate time series of longitudinal turning processes with varying feed, cutting speed, depth of cut and workpiece material and the resulting surface roughness and diameter deviation for each cut.

Data and Resources

Cite this as

Berend Denkena, Benjamin Bergmann, Henning Buhl, Miriam Handrup (2026). Multivariate time series dataset for predicting surface roughness and dimensional error in longitudinal turning [Data set]. LUIS. https://doi.org/10.25835/9xffqwnc
Retrieved: 05:53 28 Aug 2026 (UTC)

Additional Info

Field Value
Author Berend Denkena, Benjamin Bergmann, Henning Buhl, Miriam Handrup
Maintainer Miriam Handrup
Last Updated June 1, 2026, 12:27 (UTC)
Created June 1, 2026, 12:20 (UTC)
License Creative Commons Attribution 3.0
Dataset Size 982.2 MByte