Dataset for Model Predictive Force Control in Five-Axis Positional Milling using a Table Dynamometer

Ochudlo, Patrick Michael; Bergs, Thomas; Rüppel, Adrian Karl; Stemmler, Sebastian; Schmidt, Lorenz; Vallery, Heike

doi:10.18154/RWTH-2026-03847

Dataset for Model Predictive Force Control in Five-Axis Positional Milling using a Table Dynamometer

Ochudlo, Patrick Michael (Corresponding author)^RWTH* ; Rüppel, Adrian Karl^RWTH* ; Schmidt, Lorenz^RWTH* ; Bergs, Thomas^RWTH* ; Vallery, Heike^RWTH* ; Stemmler, Sebastian^RWTH*

2026

Online
DOI: 10.18154/RWTH-2026-03847
URL: https://publications.rwth-aachen.de/record/1032873/files/Data_Model_Predictive_Force_Control.zip

Einrichtungen

Projekte

DFG project G:(GEPRIS)450794086 - Modellbasierte prädiktive Kraftregelung für das mehrachsige Schruppfräsen (450794086) (450794086)

Inhaltliche Beschreibung (Schlagwörter)
Engagement condition (frei) ; Five-axis positional milling (frei) ; Force control (frei) ; Model predictive control (frei) ; Table dynamometer (frei) ; ZSPNTF100 (frei)

Kurzfassung
This dataset contains Axis Data Stream records and force measurement data during the experimental validation of a model predictive force controller for five-axis positional milling. The experiments were conducted on a five-axis Mazak VARIAXIS i‑600 machine tool (Yamazaki Mazak K.K., Oguchi, Japan) using a Kistler 9255B table dynamometer (Kistler Holding AG, Winterthur, Switzerland) to measure the process forces.The dataset includes machine tool signals such as axis positions, velocities, and accelerations, as well as measured process forces and all controller inputs and outputs used during closed-loop force control experiments.The experiments were performed using a 42CrMo4 steel workpiece and a two‑fluted cemented carbide end mill, and the dataset supports the evaluation and reproducibility of the model predictive force control strategy presented in the associated publication.

OpenAccess:
ZIP
(additional files)