Development of Monitoring System of Machining Process by Using Frequency of Cutting/Machinery Sounds. 1st Report. Construction of the System to Cutting Tool Conditions by Expression of Hexadecimal Spectrum Pattern (HSP).

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Machining sounds has been told to be effective for monitoring of cutting tool conditions, but it has been difficult to avoid misunderstanding of the conditions in previous systems. There are two main causes. First, the peculiar sound to a condition dose not emanate continuously and an unexpected sound emanates occasionally. Secondly, in case of tool wear, the small difference between normal tool and tool wear makes the recognition of the wear hard. We propose the HSP (Hexadecimal Spectrum Pattern) as the definite expression of the spectrum patterns in this paper. And we also propose the new monitoring system by using the frequency of sound, which is applied by neural network, because we consider that the emanating time of the peculiar sound is as important as the spectrum pattern of it to recognize the condition exactly. In this system, cutting tool conditions, like normal, wear and fracturing, can be monitored without misunderstanding under a few cutting conditions.