Model feature extraction for digitally collected data
[1]Xu Xuhua,LIU Kai,Yang Kaiming,et al.Model feature extraction for digitally collected data[J].Journal of Zhengzhou University (Engineering Science),1999,20(02):70-72.[doi:10.3969/j.issn.1671-6833.1999.02.023]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
20
Number of periods:
1999 No.02
Page number:
70-72
Column:
Public date:
1999-01-01
- Title:
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Model feature extraction for digitally collected data
- CLC:
- -
- Abstract:
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When the CNC code generated by the digital processing software is applied to digital machining, there is a problem of inconsistent tool trajectory, according to the characteristics of the feed position and the model boundary, the corner method recognition principle is used to identify the boundary of the model, so as to eliminate the data outside the model boundary in the digitally collected data. This method can significantly improve the efficiency of tool trajectory and digital machining efficiency by offline processing of the collected data, and the experimental results show that the method has good effect and has certain promotion value in digital machining.
- References:
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- Similar References:
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Last Update:
1900-01-01
