engleski

Tool Condition Monitoring and Control

Many sensors have been used to detect tool failure indirectly, measuring acoustic emission, force, sound, vibration, etc. In these indirect methods, the signal magnitude, root mean square value, or magnitude of the power spectrum, among others, are reported. These values indicate necessity for tool change typically via threshold. To make decision logic works with minimal faults, the control system has to be well trained. The system training results shows influence of cutting speed, feed rate, nose radius of cutting tool and tool wear on noise and forces during turning. The measurements were performed on a heat treatable steel Ck 35 (Č1431), and 40CrMnMo7 steel, when CBN inserts and coated tools were used as cutting material during dry cutting. The results showed that a high possibility in terms of tool wear monitoring exists, especially for a large-scale production.

tool wear; noise; forces; control; treshold

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