IJAT Vol.5 No.3 pp. 362-368
doi: 10.20965/ijat.2011.p0362


A Proposed Ultraprecision Machining Process Monitoring Method Using Causal Network Model of Air Spindle System

Hiroshi Sawano, Ryosuke Kobayashi, Hayato Yoshioka,
and Hidenori Shinno

Precision and Intelligence Laboratory, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8503, Japan

January 14, 2011
February 27, 2011
May 5, 2011
process monitoring, ultraprecision machining, air spindle system, micro machining, causal network

Future ultraprecision machining systems require inprocess monitoring and intelligent machining control functions. This paper presents a newly developed machining process monitoring method. The method proposed aims at monitoring the ultraprecision machining process using a causal network model of an air spindle system. The results of actual machining experiments confirm that the proposed method can estimate the dynamic and thermal behaviors at the cutting point during machining. In consequence, the process monitoring method proposed can systematically predict the tool wear, the contact condition between the tool and the workpiece, the abnormal machining conditions, and so on.

Cite this article as:
Hiroshi Sawano, Ryosuke Kobayashi, Hayato Yoshioka, and
and Hidenori Shinno, “A Proposed Ultraprecision Machining Process Monitoring Method Using Causal Network Model of Air Spindle System,” Int. J. Automation Technol., Vol.5, No.3, pp. 362-368, 2011.
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Last updated on Mar. 05, 2021