• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Advanced Engineering Materials and Technology >In-Process Monitoring and Estimation of Tool Wear on CNC Turning by Applying Multi-Sensor with Back Propagation Technique
【24h】

In-Process Monitoring and Estimation of Tool Wear on CNC Turning by Applying Multi-Sensor with Back Propagation Technique

机译：用返回传播技术应用多传感器的CNC转向刀具磨损的过程监测与估算

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The aim of this research is to propose and develop the in-process monitoring system of the tool wear for the carbon steel (S45C) in CNC turning process by utilizing the multi-sensor which are the force sensor, the sound sensor, the accelerometer sensor and the acoustic emission sensor. The progress of the tool wear results in the larger cutting force, the higher amplitude of the acceleration signal, and the higher power spectrum densities of sound and acoustic emission signals. Hence, their signals have been integrated via the neural network with the back propagation technique to monitor the tool wear. The experimentally obtained results showed that the in-process monitoring system proposed and developed in this research can be effectively used to estimate the tool wear level with the higher accuracy and reliability.
机译：本研究的目的是通过利用作为力传感器，声音传感器，加速度计传感器的多传感器，在CNC转动过程中提出并开发了CNC转动过程中碳钢（S45C）工具磨损的工具磨损的过程磨损系统。和声发射传感器。工具磨损的进展导致更大的切割力，加速度信号的较高幅度以及声音和声发射信号的较高功率谱密度。因此，它们的信号通过神经网络集成了与后传播技术来监视刀具磨损。实验所得到的结果表明，该研究中提出和开发的过程中提出的过程监测系统可以有效地估算刀具磨损水平，以更高的准确性和可靠性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号