Application of evaluating lubrication conditions in the cold forging process, introducing a case of scrap contamination detection in the sheet metal forming process.
In the forging process, changes in load and temperature history are measured using appropriate sensors, and by analyzing the fluctuations in measurement signals during normal operation and the variations in the acquired data signals, a technology has been developed to detect abnormalities during mass production, specifically targeting multi-stage forging processes such as those involving formers. Additionally, in recent years, research and development have intensified regarding the incorporation of sensors within molds to detect abnormalities such as product defects and mold damage in press forming. This document introduces the bolt-type piezo sensor "PiezoBolt," along with a dedicated measurement system, and various examples of process monitoring conducted using this system. *For more details, please refer to the PDF document or feel free to contact us.*
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![[Data] Case Studies of Monitoring Solution Utilization](https://image.mono.ipros.com/public/catalog/image/01/16e/728339/IPROS93007164303381516803.jpeg?w=120&h=170)
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![[Example] Detecting debris accumulation with a load sensor.](https://image.mono.ipros.com/public/product/image/7c0/2001166326/IPROS2318141328976463550.jpeg?w=280&h=280)
![[Example] Detecting defects in cutting tools with a "load sensor"](https://image.mono.ipros.com/public/product/image/960/2001162415/IPROS17212855846624318126.jpeg?w=280&h=280)