Wear Characteristics of Single Crystal Diamond Tool

CIRP Annals ◽  
1980 ◽  
Vol 29 (1) ◽  
pp. 47-52 ◽  
Author(s):  
R. Wada ◽  
H. Kodama ◽  
K. Nakamura ◽  
Y. Mizutani ◽  
Y. Shimura ◽  
...  
Keyword(s):  
Single Crystal ◽  
Diamond Tool ◽  
Wear Characteristics ◽  
Single Crystal Diamond ◽  
Single Crystal Diamond Tool

Development and machining performance of single crystal diamond tool with micro texture

2019 ◽  
Vol 2019.56 (0) ◽  
pp. C033
Author(s):  
Kohei YANAMURA ◽  
Noritaka KAWASEGI ◽  
Noboru TAKANO ◽  
Noboru MORITA ◽  
Kazuhito NISHIMURA ◽  
...  
Keyword(s):  
Single Crystal ◽  
Diamond Tool ◽  
Machining Performance ◽  
Single Crystal Diamond ◽  
Single Crystal Diamond Tool

Interferometric measurements of single crystal diamond tool wear

CIRP Annals ◽  
2015 ◽  
Vol 64 (1) ◽  
pp. 125-128 ◽  
Author(s):  
C.J. Evans ◽  
E.C. Browy ◽  
T.H.C. Childs ◽  
E. Paul
Keyword(s):  
Tool Wear ◽  
Single Crystal ◽  
Diamond Tool ◽  
Single Crystal Diamond ◽  
Single Crystal Diamond Tool

The Condition Monitoring of the Micro V-Grooving with a Single Crystal Diamond Tool Using the AE Technology

2011 ◽  
Vol 264-265 ◽  
pp. 1107-1117 ◽  
Author(s):  
Su Hoon Jang ◽  
Hae Woong Kwon ◽  
Ik Soo Kang ◽  
Jeong Suk Kim ◽  
Myung Chang Kang
Keyword(s):  
Single Crystal ◽  
Diamond Tool ◽  
Machined Surface ◽  
Machining Conditions ◽  
Single Crystal Diamond ◽  
Single Crystal Diamond Tool ◽  
Micro Grooving ◽  
Ae Signal ◽  
Surface Profiles ◽  
Ae Signals

This study deals with the micro v-grooving of a single crystal diamond tool that is implemented on a 3-axis micro-stage. A method for monitoring the machining conditions is investigated using acoustic emission (AE) signals and cutting force signals in the micro-grooving. The AE signals and machined surface profiles are obtained under various machining conditions. The signals are acquired from an AE sensor that is attached to the tool holder and are investigated to identify the correlation with the machined surface profiles. It is found that the AE signal is an effective parameter for monitoring the texture of the machined surface.

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