IJAT Vol.17 No.2 pp. 103-111
doi: 10.20965/ijat.2023.p0103

Research Paper:

Diagnosis Method of Lubrication Failure by Coolant Immersion for a CNC Lathe Spindle

Keigo Takasugi*,†, Naohiko Suzuki**, Yoshiyuki Kaneko**, and Naoki Asakawa*

*Institute of Science and Engineering, Kanazawa University
Kakuma-machi, Kanazawa-shi, Ishikawa 920-1192, Japan

Corresponding author

** Takamatsu Machinery Co., Ltd., Hakusan, Japan

July 5, 2022
October 11, 2022
March 5, 2023
early failure detection, CNC lathe spindle, lubrication failure, bearing, statistic feature parameter

As a result of the development of network technologies, diagnosis techniques that can collect machine states continuously and prognostic health management (PHM) are available in the factory. PHM technology is also beginning to be implemented in the machine tool field. However, few studies have described causality between feature values, including vibration and acoustic emission data, collected by machine and physical phenomena of failures under the actual use of machine tools. In the present paper, a PHM system of lubrication failure of bearings in CNC lathe spindles is developed. An acceleration sensor is used to collect machine states, and statistical feature parameters that characterize the lubrication failure are extracted from the obtained vibration data. Moreover, in order to clarify the cause-effect relation between the extracted feature parameters and physical phenomena of lubrication failure, several analyses using surface roughness measurement, residual stress measurement, and grease consistency measurement are conducted.

Cite this article as:
K. Takasugi, N. Suzuki, Y. Kaneko, and N. Asakawa, “Diagnosis Method of Lubrication Failure by Coolant Immersion for a CNC Lathe Spindle,” Int. J. Automation Technol., Vol.17, No.2, pp. 103-111, 2023.
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Last updated on Mar. 19, 2023