The Friction of Radially Loaded Hybrid Spindle Bearings under High Speeds

Author:

Gärtner Marcus1ORCID,Brecher Christian1,Neus Stephan1,Eckel Hans-Martin1,Bartelt Andreas1,Hoppert Maik2,Ilkhani Mohammad Reza3ORCID

Affiliation:

1. Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

2. MSC.Software GmbH, Hexagon Company, Parkring 3, 85748 Garching, Germany

3. Power Electronics and Machines Centre (PEMC), Engineering Department, University of Nottingham, Jubilee Campus, Nottingham NG7 2GT, UK

Abstract

Friction losses are an important parameter for evaluating the operational behaviour of high-speed rolling bearings. Specifically, in machine tool applications, the bearings are subjected to high radial loads and high speeds, which lead to increased forces in the rolling contact and, as a result, increased bearing friction. In this high-speed application, hybrid spindle bearings, typically made of ceramic balls and steel raceways, show better frictional behaviour compared to full steel-made bearings. Therefore, precise knowledge of the friction characteristics of high-speed hybrid bearings can improve friction models and generalise them to spindle bearings with different types, geometries, and operating conditions. In this article, a new straightforward and cost-efficient method for measuring the frictional torque in spindle bearings is presented. A rigidly arranged 7008 hybrid spindle bearing pair was tested up to rotational speeds of 24,000 rpm and high radial loads of 3 kN. The effects of oil–air and grease lubrication are discussed in characteristic diagrams of the tested bearings. Then, based on the test results, a friction calculation model is presented and validated for the outer race control and minimised power dissipation regarding the influence of radial forces.

Funder

Clean Sky

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

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