Extraction of tool wear indicators in peck-drilling of Inconel 718

被引：9
|
作者：
Jimenez, Amaia [1 ]
Arizmendi, Miguel [1 ]
Sanchez, Jose Manuel [1 ,2 ]
机构：
[1] Univ Navarra, TECNUN Escuela Ingn, Manuel Lardizabal 15, San Sebastian 20018, Spain
[2] CEIT Basque Res & Technol Alliance BRTA, Manuel Lardizabal 15, Donostia San Sebastian 20018, Spain
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2021年 / 114卷 / 9-10期
关键词：
Drilling; Wear; Monitoring; Inconel; 718; Cutting forces; HOLE; QUALITY; FORCE; SENSORS; LIFE;
D O I：
10.1007/s00170-021-07058-7
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an experimental method for predicting tool wear in drilling Inconel 718 superalloy. The method combines analysis of drilling force signals and tool wear progress. Force characteristics were studied both in time and frequency domains (power spectrum and wavelet decomposition) in order to find best correlation with tool wear progress. These analyses show that the mean value of the thrust force component, the high frequency component of the force, the frequencies that arise during drilling, and the evolution of the wavelet decomposition details are all sensitive to tool wear progress. Therefore, these characteristics can be employed as indicators for drill failure prediction. Among all those indicators, the mean value of the thrust force and the standard deviation of high frequency components of that force have shown the greatest sensitivity to drill wear.
引用
收藏
页码：2711 / 2720
页数：10
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