On-Line Tool Condition Detection Based on Acoustic Signal
Pengcheng Huo, Minliang Zhang, Lei Gao, Ran Li

Abstract
Along with the rapid development of high speed machining technology, cutting speed and productivity increased ，but also come with increased tool wear and tool life reduction. This paper first introduced the modern testing technology to online tool detection in principle, and then raised the establishment of online detection system of tool condition using sound signals in the cutting process. This method can be used in practice for tool condition monitoring in order to timely adjust machining parameters, or change tool to ensure high efficiency and quality of machining.

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