[Example] Detecting defects in cutting tools with a "load sensor"

Visualizing empirical intuition and know-how with sensing technology! It enables understanding of the appropriate timing for tool replacement.

As a foundational technology for realizing smart factories utilizing IoT, there is an increasing expectation worldwide for the integration of sensors into everything, as well as for the big data analysis of the vast numerical information obtained and AI technologies. Our company is also working on the development of foundational technologies applicable to visualizing manufacturing processes, detecting anomalies, and maintaining equipment by utilizing sensing technology and forging simulation. This time, we will introduce a case where the piezoelectric load sensor PiezoBolt and dedicated measuring equipment were applied to cutting processes (drilling) to detect signs of tool failure. If you have concerns like these, please check the related links for more details: ◎ During processing, operators are almost constantly monitoring while listening for sounds, but defects frequently occur. ◎ The timing of tool changes varies depending on the monitoring operator. ◎ We tried using AE sensors, but it is difficult to identify signs of anomalies or pinpoint them when they occur.

Other measurement, recording and measuring instruments