| 数控车削加工过程的刀具磨损动态监测 |
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| 引用本文： | 黄遂,陈洪涛,傅攀,甘建水.数控车削加工过程的刀具磨损动态监测[J].机械设计与制造,2010(2). |
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| 作者姓名： | 黄遂 陈洪涛 傅攀 甘建水 |
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| 作者单位： | 1. 西南交通大学机械工程学院,成都,610031
2. 四川工程职业技术学院,德阳,618360 |
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| 基金项目： | 四川省德阳市东方气轮机厂重点项目;;国家重点基础发展计划(973计划)(2007CB707703-4) |
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| 摘 要： | 对车削加工刀具磨损的各阶段信号进行采集,通过动态时频域分析,找到车削加工过程中刀具磨损的重要参数变化,对其进行振铃记数和人工神经网络的模式识别,实现了车削加工刀具磨损的状态检测。
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| 关 键 词： | 刀具磨损 动态分析 振铃记数 人工神经网络 |
Dynamic tool wear monitoring in CNC turning |
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| HUANG Sui,CHEN Hong-tao,FU Pan,GAN Jian-shui.Dynamic tool wear monitoring in CNC turning[J].Machinery Design & Manufacture,2010(2). |
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| Authors: | HUANG Sui CHEN Hong-tao FU Pan GAN Jian-shui |
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| Affiliation: | 1 Southwest Jiaotong University institute of Mechanical Engineering/a>;Chengdu 610031/a>;China;2 Sichuan Engineering Technical College/a>;Deyang 618360/a>;China |
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| Abstract: | The signals of the tool wear at various stages are collected in the turning process. By the dynamic time-frequency domain analysis,the change of some important tool wear parameters during the turning is detected which is pattern recognized by the ring notation and the artificial neural network. Tool wear monitoring is achieved in turning by using the pattern recognition. |
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| Keywords: | Tool wear Dynamic analysis Ring notation Artificial neural networks |
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