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A method for evaluating dynamical friction in linear ball bearings.

Yusaku Fujii¹, Koichi Maru, Tao Jin

¹Department of Electronic Engineering, Faculty of Engineering, Gunma University, 1-5-1 Tenjin-cho, Kiryu 376-8515, Japan. fujii@el.gunma-u.ac.jp

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This study introduces a new method to measure dynamical friction in linear bearings by analyzing inertial forces. It accurately quantifies friction even with imperfect linear motion using advanced acceleration measurement techniques.

Keywords:

dynamic friction coefficient inertial force linear ball bearings optical measurement

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Area of Science:

Mechanical Engineering
Tribology
Mechatronics

Background:

Linear bearings are crucial components in many mechanical systems.
Non-linear motion in bearings, caused by internal play, complicates friction evaluation.
Accurate friction assessment is vital for system performance and longevity.

Purpose of the Study:

To propose a novel method for evaluating the dynamical friction of linear bearings.
To address the challenge of friction measurement in bearings with imperfect linear motion.
To provide a reliable technique for quantifying bearing friction.

Main Methods:

The proposed method involves allowing the linear bearing's moving part to move freely.
Inertial force is measured, calculated as the product of mass and center-of-gravity acceleration.
Center-of-gravity acceleration is determined by measuring acceleration at two distinct points using a dual-axis optical interferometer.

Main Results:

The method successfully quantifies dynamical friction by measuring inertial forces.
Accurate acceleration data is obtained using a dual-axis optical interferometer.
The technique accounts for non-linearities arising from internal mechanism play.

Conclusions:

The developed method provides an effective means to evaluate linear bearing dynamical friction.
This technique is suitable for bearings exhibiting imperfect linear motion.
The findings contribute to improved understanding and prediction of bearing performance.