| 外圆磨削表面粗糙度的在线监测方法研究 |
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| 引用本文： | 刘贵杰,巩亚东,王宛山.外圆磨削表面粗糙度的在线监测方法研究[J].辽宁工程技术大学学报(自然科学版),2003,22(1):107-109. |
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| 作者姓名： | 刘贵杰 巩亚东 王宛山 |
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| 作者单位： | 1. 东北大学机械工程及自动化学院,辽宁,沈阳,110004;山东轻工业学院机电工程系,山东,济南,250100
2. 东北大学机械工程及自动化学院,辽宁,沈阳,110004 |
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| 基金项目： | 教育部科学技术研究重点项目(200032) |
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| 摘 要： | 通过理论分析和试验研究，找到了与磨削表面粗糙度有关的摩擦AE信号特征，在此基础上提出了基于神经网络的外圆磨削表面粗糙度监测方法，利用神经网络建立声发射信号特征信息与磨削表面粗糙度之间的非线性映射关系，仿真结果表明利用该方法可以实现磨削表面粗糙度的在线评估。
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| 关 键 词： | 外圆磨削 表面粗糙度 声发射信号 在线监测 非线性映射关系 神经网络 |
| 文章编号： | 1008-0562(2003)01-0107-03 |
| 修稿时间： | 2002年10月20 |
Study on on-line monitor method for grinding surface roughness of cylinder |
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| LIU Gui-jie,GONG Ya-dong,WANG Wan-shan.Study on on-line monitor method for grinding surface roughness of cylinder[J].Journal of Liaoning Technical University (Natural Science Edition),2003,22(1):107-109. |
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| Authors: | LIU Gui-jie GONG Ya-dong WANG Wan-shan |
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| Institution: | LIU Gui-jie1,2,GONG Ya-dong1,WANG Wan-shan1 |
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| Abstract: | The characteristics of friction AE signals related to grinding surface roughness is found from theory analysis and test study, and an on-line monitor method for grinding surface roughness with the acoustic emission(AE) signal produced by friction process is presented based on neural network. The nonlinear mapping relationship between the AE signal feature values and the grinding surface roughness is built by neural network. Simulation and test indicate that AE signal can supply enough information for monitor roughness of grinding surface, and this method can be used to monitor roughness of grinding surface on line. |
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| Keywords: | cylinder grinding surface roughness acoustic emission (AE) signal on-line measurement |
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