Influence of engagement parameters on estimation of tangential cutting force using high-frequency process data of the machine tool

Publikation: Beitrag in FachzeitschriftKonferenzartikelBeigetragenBegutachtung

Beitragende

  • Michal Rytir - , Czech Technical University in Prague (Autor:in)
  • Jonas Rönnecke - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Albrecht Hänel - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Petr Kolar - , Czech Technical University in Prague (Autor:in)
  • Steffen Ihlenfeldt - , Professur für Werkzeugmaschinenentwicklung und adaptive Steuerungen, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)

Abstract

The machining of high-value products needs advanced quality control to avoid the risk of expensive follow-up operations performed on parts with unacceptable quality. This situation requires the in-process or close to in-process control of the machining operation. The tangential cutting force is a parameter that characterizes the force interaction between the specific workpiece material and the specific tool geometry. This paper presents a method for a tangential cutting force calculation along the given tool path based on processing of the high-frequency data acquired from the machine tool control system with support of the geometric material removal model. The calculated data are compared with the reference dynamometer results. The influence of the variable engagement parameters is demonstrated and discussed from the perspective of the in-process workpiece quality control.

Details

OriginalspracheEnglisch
Seiten (von - bis)537-542
Seitenumfang6
FachzeitschriftProcedia CIRP
Jahrgang118
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusJa

Konferenz

Titel16th CIRP Conference on Intelligent Computation in Manufacturing Engineering
KurztitelCIRP ICME 2022
Veranstaltungsnummer16
Dauer13 - 15 Juli 2022
OrtOnline
StadtNaples
LandItalien

Schlagworte

Schlagwörter

  • cutting force model, edge computing, In-process monitoring, leakage model, spindle current