This dataset contains the documented experimental research data used in the dissertation “Continual Learning-Based Process Modeling for Cutting Parameter Optimization in Single-Part Manufacturing.” The experiments were conducted on a Datron MX Cube and comprise 180 machining trials, each representing one produced workpiece with multiple manufactured features.

The dataset provides structured information on the design of experiments, applied cutting parameters, feature-based quality measurements (surface roughness and CMM inspection), as well as recorded time-series process data and simulation results. Further details on the data structure and contents are provided in the accompanying README.