scholarly journals A nonrevolving solid turning system utilizing turning NC language.

1989 ◽  
Vol 55 (513) ◽  
pp. 1285-1288
Author(s):  
Tadao KAGIWADA ◽  
Tadahiko KANAUCHI ◽  
Masato TAKAHASHI
Keyword(s):  
2007 ◽  
Vol 7 (3) ◽  
pp. 192-202 ◽  
Author(s):  
Jing Zhou ◽  
Derek Yip-Hoi ◽  
Xuemei Huang

In order to optimize turning processes, cutting forces need to be accurately predicted. This in turn requires accurate extraction of the geometry of tool-workpiece engagements (TWE) at critical points during machining. TWE extraction is challenging because the in-process workpiece geometry is continually changing as each tool pass is executed. This paper describes research on a hybrid analytical, solid modeler, and feature-based methodology for extracting TWEs generated during general turning. Although a pure solid modeler-based solution can be applied, it will be shown that because of the ability to capture different cutting tool inserts with similar geometry and to model the process in 2D, an analytical solution can be used instead of the solid modeler in many instances. This solution identifies features in the removal volumes, where the engagement conditions are not changing or changing predictably. This leads to significant reductions in the number of Boolean operations that are executed during the extraction of TWEs and associated parameters required for modeling a turning process. TWE extraction is a critical component of a virtual turning system currently under development.


Optifab 2019 ◽  
2019 ◽  
Author(s):  
Chung-Ying Wang ◽  
Chien-Yao Huang ◽  
Jung-Hsing Wang ◽  
Jun-Cheng Chen ◽  
Wei-Cheng Lin ◽  
...  

Procedia CIRP ◽  
2018 ◽  
Vol 77 ◽  
pp. 324-327 ◽  
Author(s):  
Eugenio Di Iorio ◽  
Rachele Bertolini ◽  
Stefania Bruschi ◽  
Andrea Ghiotti

1999 ◽  
Vol 39 (7) ◽  
pp. 1171-1183 ◽  
Author(s):  
Zinan Lu ◽  
Takeshi Yoneyama
Keyword(s):  

Author(s):  
Taiju Yamagami ◽  
Atsushi Kakogawa ◽  
Yang Tian ◽  
Yuki Komurasaki ◽  
Shugen Ma

2014 ◽  
Vol 1030-1032 ◽  
pp. 1602-1607
Author(s):  
Jing Jing Yu ◽  
Ya Nan Zhang ◽  
Lin Yong Shen

The direction of the flexible robot body controllable feeding has been a problem. Such as the traditional industrial endoscope applications, it is only the head can be active deflection. If the endoscope want to feed into the deep and complex structure of the unknown cavity, it is necessary to give the outside pipeline route guidance, otherwise flexible body of the endoscope is difficult to active changing direction in accordance with the environments. In this paper, a mechanical system is studied to help flexible body enable to active steering and improving initiative and flexibility in an unknown space.


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