Detection of accelerated tool wear in turning

被引：19

作者：

Bombinski, Sebastian ^{[1
]}

Kossakowska, Joanna ^{[2
]}

Jemielniak, Krzysztof ^{[2
]}

机构：

[1] Kazimierz Pulaski Univ Technol & Humanities Radom, Ul Stasieckiego 54, PL-26600 Radom, Poland

[2] Warsaw Univ Technol, Narbutta 86, PL-02524 Warsaw, Poland

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2022年 / 162卷

关键词：

Turning; Accelerated tool wear detection; Cutting force; Hierarchical time windows; ONLINE; FORCE; MODEL; PREDICTION; MACHINE; NETWORK; SIGNALS;

D O I：

10.1016/j.ymssp.2021.108021

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

There are many algorithms for the identification of gradual tool wear (GTW) which usually counts in minutes and the detection of catastrophic tool failure (CTF) which counts in milliseconds. However, the tool may lose its cutting ability by accelerated tool wear (ATW), which may last several seconds and cannot be sensed either by GTW or CTF detection algorithms. The paper presents an innovative algorithm for early detection of ATW and CTF. It consists in comparing the waveforms of the cutting force sensor signal in hierarchical time windows. The compared waveforms are independent of the absolute value of the signal. This allows the detection of ATWs of different intensity and duration. Tests proved that successful detection of ATW allows for prevention of CTF.

引用

页数：16

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