Dataset for Potential of Model Predictive Force Control in Five-Axis Positional Milling Considering Tool Wear

RWTH Publications (RWTH Aachen)

Abstract

This dataset contains axis data stream records and force measurement data collected during the experimental comparison of a model predictive force controller and feedrate scheduling. Both a new and a severely worn tool were used. 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 in five-axis positional milling. The experiments were performed using a 42CrMo4 steel workpiece and two‑fluted cemented carbide end mills, one unused and one severely worn. The dataset supports the experimental results presented in the associated publication.

Authors 6

1. Patrick Michael Ochudlo Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen

2. Adrian Karl Rüppel Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen

3. Franziska Plum Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen

4. Thomas Bergs Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen

5. Heike Vallery Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen

6. Sebastian Stemmler Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen