alexa Life Prediction of a Spindle CNC Machining Centre Using
ISSN: 2169-0316

Industrial Engineering & Management
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Case Report

Life Prediction of a Spindle CNC Machining Centre Using Natural Frequency Method of Vibration

Butdee S and Kullawong T*

Department of Production Engineering, KMUTNB, Thailand

*Corresponding Author:
Tadpon Kullawong
Department of Production Engineering KMUTNB
Thailand
Tel:
+66 2 555 2000
E-mail:
[email protected]

Received September 08, 2015; Accepted November 10, 2015; Published November 12, 2015

Citation:Butdee S, Kullawong T (2015) Life Prediction of a Spindle CNC Machining Centre Using Natural Frequency Method of Vibration. Ind Eng Manage 4:180. doi:10.4172/2169-0316.1000180

Copyright: © 2015 Butdee S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

In the performance of a spindle CNC system, its bearings play an important role. Many problems arising in a spindle CNC operation are linked to bearing faults. In this project, the accuracy of the instruments and devices used to monitor and control the motor system is highly dependent on the dynamic performance of its bearings. Thus, fault diagnosis of a motor system is inseparably related to the diagnosis of the bearing assembly. In this paper, bearing vibration frequency features are discussed for spindle CNC of bearing fault diagnosis. This paper then presents an approach for life prediction of spindle CNC rolling bearing using nonlinear regression analysis. Vibration data are used to assist in the design for controlling and rolling bearing fault diagnosis strategies. Then our results obtained indicate that controlling and rolling bearing fault diagnosis can be effective agents in life prediction and diagnosis.

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