scholarly journals Characterization of surface textures generated on hardened steel parts in high-precision machining operations

2015 ◽  
Vol 78 (9-12) ◽  
pp. 2049-2056 ◽  
Author(s):  
W. Grzesik ◽  
J. Rech ◽  
K. Żak
1999 ◽  
Author(s):  
Katsuhito Yoshida ◽  
Satoru Kukino ◽  
Takashi Harada ◽  
Tomohiro Fukaya ◽  
Junichi Shiraishi ◽  
...  

Abstract PCBN (Polycrystalline Cubic Boron Nitride) cutting tools have become very familiar in the industries for cutting hardened steel parts and the demand for PCBN tools is growing rapidly. One of the reasons for this is the trend of replacing grinding processes with cutting. Although the trend of processing is to use more cutting, there still remains grinding in many processing fields. High precision machining and high speed interrupted machining have been such fields. In this study it has been verified that a novel cutting method can be applied to high precision machining with the smoothness of Rz 0.8 μm and that a new PCBN has sufficient reliability against tool failure in high speed (< 250m/min) interrupted cutting. Thus cutting has become applicable to those machining and the trend of replacement of grinding with cutting will be enhanced. Those new technologies will be introduced in this report.


1999 ◽  
Author(s):  
J.W. Martyny ◽  
M. Hoover ◽  
K. Ellis ◽  
M. Mroz ◽  
L. Newman ◽  
...  
Keyword(s):  

2014 ◽  
Vol 543-547 ◽  
pp. 4698-4701
Author(s):  
Juan Wang

During the processing of aircraft and other high precision machinery workpieces, if using the traditional machining methods, it will consume a amount of machining costs, and the mechanical processing cycle is long. In this context, this paper designs a kind of robot intelligent processing system with high precision machinery. And it has realized the intelligent online control on the machining process by using the high precision machining intelligent online monitoring technology and the numerical simulation prediction technology. Finally, this system is introduced into the process of data mining for volleyball game, and designs the partial differential variational data mining model, which has realized the key parameter data mining of volleyball games service system, and has provided reliable parameters and technical support for the training of volleyball players.


Author(s):  
David A. Alessi ◽  
Matthew A. Prantil ◽  
Sandrine I. Herriot ◽  
Mark R. Hermann ◽  
John E. Heebner ◽  
...  
Keyword(s):  

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