Project Details
Projekt
Development of an empirical model of the spindle bearing damping in consideration of the assembly and operating condition for an application-oriented simulation of the dynamic behavior of main spindles
Applicant
Professor Dr.-Ing. Christian Brecher
Subject Area
Production Automation and Assembly Technology
Term
from 2017 to 2021
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 386986567
In fast-rotating main spindles of milling machines, spindle bearings are used almost exclusively because of their high speed capability, compact size and modest required peripherals. Due to their design as angular contact ball bearings, their static and dynamic behavior is highly dependent on the temperature, the speed and assembly conditions such as the preload. While the non-linear stiffness behavior can be calculated numerically with simulation programs, the damping behavior is difficult to predict due to the high complexity of the elastohydrodynamic and insufficiently known parameters such as the viscosity in the lubrication gap. The goal of this knowledge transfer project is to determine the damping parameters of selected spindle bearings depending on assembly and operating condition and to create an empirical model of the spindle bearing damping. The model development will be supported by using existing numerical computation programs of the bearing kinematics by correlating the empirically determined damping parameters with calculated parameters such as pressure in the ball contact. By implementing the model in the existing calculation programs, spindle and machine manufacturers as well as users are able to calculate the dynamic response of spindle systems to simulate dynamic compliances and machine-process interactions.
DFG Programme
Research Grants (Transfer Project)
