Abstract
The article aims to use the generated sound as operational information needed for adaptive control of the metalworking process and early monitoring and diagnosis of the condition of the machined materials using a newly introduced surface roughness quality index due to the sound-controlled machining process. The object of the measurement was correlation between the sound intensity generated during cutting and the material parameters of the machined surface, i.e., the roughness of the machined surface and the degree of wear of the cutting tool. The roughness was measured during longitudinal turning of a steel billet with a P25 insert made of 12X18H10T steel and a T15K6 cutting insert made of a titanium, cobalt, and tungsten group alloy. The correlation between the sound and roughness of the machined surface was 0.93, whereas between the sound and wear of the cutting tool was 0.93. The correlation between sound and tool wear in the experiment with P25 and T15K6 cutting inserts and the correlation between sound and roughness is positive.
Highlights
High demands are placed on machine tools in terms of required technological parameters and efficiency and in terms of their reliability
The diagnostic system communicates with the machine tool system at such a level that it is possible to start the prepared program sequence in time, minimising or averting the fault based on the current diagnostic results
The article presents a new method of effective use of the acoustic signal generated during the cutting process, to create the desired surface properties of the workpiece
Summary
High demands are placed on machine tools in terms of required technological parameters and efficiency and in terms of their reliability. The key to ensuring reliable production is timely and correct operational diagnostics and self-diagnostics of modern machine tools. Machine tools are currently the most demanding application in an unattended mode with continuous operation, in which the diagnostic system must quickly detect a dangerous trend of a monitored parameter or even a sudden failure. The diagnostic system communicates with the machine tool system at such a level that it is possible to start the prepared program sequence in time, minimising or averting the fault based on the current diagnostic results. An external diagnostic system can be used for the specific diagnostic needs of the machining system. The design of the additional system is the content of the presented publication
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