[1]徐旭华,刘凯,杨开明,等.数字化采集数据的模型特征提取[J].郑州大学学报(工学版),1999,20(02):70-72.[doi:10.3969/j.issn.1671-6833.1999.02.023]
　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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数字化采集数据的模型特征提取()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
20卷
期数:
1999年02期
页码:
70-72
栏目:
出版日期:
1999-01-01

文章信息/Info

Title:
Model feature extraction for digitally collected data
作者:
徐旭华; 刘凯; 杨开明; 等.
郑州工业大学机械与电子工程学院,河南,郑州,450002
Author(s):
Xu Xuhua; LIU Kai; Yang Kaiming; etc
关键词:
数字化:刀具轨迹;  特征提取
Keywords:
DOI:
10.3969/j.issn.1671-6833.1999.02.023
文献标志码:
A
摘要:
数字化处理软件生成的CNC代码应用于数字化加工时,存在着刀具轨迹不一致的问题根据进给位置和模型边界的特征,运用转角法识别原理,识别出模型的边界,以剔除掉数字化采集数据中模型边界以外的数据.该方法对采集的数据进行离线处理,可显著提高刀具轨迹的效率和数字化加工效率实验表明,该方法效果良好,在数字化加工中有一定的推广价值.
Abstract:
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.

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更新日期/Last Update: 1900-01-01