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A study of tool tipping monitoring for titanium milling based on cutting vibration

  • Wenping Mou
  • Zhenxi Jiang
  • Shaowei ZhuEmail author
ORIGINAL ARTICLE
  • 104 Downloads

Abstract

In titanium milling machining, tool condition monitoring (TCM) is very important owing to the short tool life and expensive cost. And the TCM is the key technology for automated machining. In titanium milling, tipping is the main tool failure mode. In this paper, in order to monitor the tool tipping in practical production of complex titanium parts, a cutting vibration signal–based segmented monitoring method is proposed. An accelerometer mounted on the spindle is used to sense the cutting vibration. The undesired signal during air-cut is analyzed and eliminated by low-pass filtering. Increments of the moving average root mean square (MARMS) and peak power spectral density (PPSD) are extracted as indicators in time domain and frequency domain respectively. In addition, in order to eliminate the effect caused by continuously changed cutting condition in complex machining operations to reduce false alarms, a segmented monitoring strategy and corresponding NC block segmentation method are proposed. Finally, a framework of an online monitoring is built up. A case study shows that continuous tipping can also be detected, and the proposed method is effective for different cutting parameters.

Keywords

Tool condition monitoring Tipping Vibration Titanium milling 

Notes

Funding information

This work is supported by the Special Fund of High-end CNC Machine Tools and Basic Manufacturing Equipment (2015ZX04001002), China.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjingChina
  2. 2.NC Machining PlantChengdu Aircraft Industrial (Group) Co., Ltd.ChengduChina

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