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Title
Japanese: 
English:A Proposed Ultraprecision Machining Process Monitoring Method Using Causal Network Model of Air Spindle System 
Author
Japanese: 澤野 宏, 小林 良輔, 吉岡 勇人, 新野 秀憲.  
English: Hiroshi Sawano, Ryosuke Kobayashi, Hayato Yoshioka, Hidenori Shinno.  
Language English 
Journal/Book name
Japanese: 
English:International Journal of Automation Technology 
Volume, Number, Page Vol. 5    No. 3    pp. 362-368
Published date Apr. 2011 
Publisher
Japanese:富士技術出版株式会社 
English:Fuji Technology Press 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL http://www.fujipress.jp/index.html
 
DOI https://doi.org/10.20965/ijat.2011.p0362
Abstract 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.

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