Quickly detect abnormalities in the manufacturing site and respond swiftly with accurate understanding of the causes!
Using the piezoelectric load sensor "PiezoBolt," we measure loads and analyze phenomena occurring at "processing points" that were previously unseen. Based on the analysis results, we identify precursors to the occurrence of defective products and implement countermeasures against defects. This solution addresses various challenges in the production site, including equipment maintenance and anomaly detection. 【Monitoring Examples in Forging】 ■ Detection of mold cracks ■ Prediction of punch wear and lifespan ■ Evaluation of lubricating oil 【Monitoring Examples in Press Forming】 ■ Detection of punch breakage ■ Prediction of foreign object embedding ■ Detection of scrap accumulation ■ Equipment maintenance for press machines 【Monitoring Examples in Cutting】 ■ Detection of cutting tool defects 【Monitoring Examples in Casting】 ■ Detection of abnormalities in casting formation *For more details, please refer to the PDF document or feel free to contact us.
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basic information
【Piezoelectric Load Sensor "PiezoBolt" Features】 ■ Excellent sensitivity and responsiveness ■ Detects minute anomalies, enabling predictive maintenance ■ Easy installation: Can be installed like JIS B 1176 standard bolts ■ Available in six sizes: M6, M8, M10, M12, M16, M20 ■ Designed for mass production: High-performance sensor suitable for production environments ■ Dustproof, waterproof, and heat-resistant: IP65 equivalent dust and water protection rating, usable up to 180°C *For more details, please refer to the PDF document or feel free to contact us.
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Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
Detailed information
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"Real-time detection of abnormal signs" By installing IoT sensors that can measure the load on equipment and products, the system will automatically stop the equipment if an abnormal waveform different from the normal waveform is detected.
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"Visualizing the processing points" to identify the causes of defects. By measuring the load, we can analyze in detail the phenomena occurring at the previously unseen "processing points" and identify signs of potential defects.
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Simply replace the bolts for easy IoT implementation. Just replace the existing bolts with bolt-shaped load sensors! You can promote IoT integration without incurring huge costs for equipment replacement or renovations.
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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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First, let's consult with Yamana Kogin. We want to be a company that customers can trust and think of first when they have any problems. With that in mind, we will seriously tackle any requests, never cut corners, and continue to provide the 'things' and 'experiences' that our customers truly desire.
![[Technical Document] Utilization of Bolt-Type Load Sensors for a Smart Manufacturing Environment](https://image.mono.ipros.com/public/product/image/b63/2001021358/IPROS73479521087318119908.png?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)
![[Example] Detecting debris accumulation with a load sensor.](https://image.mono.ipros.com/public/product/image/7c0/2001166326/IPROS2318141328976463550.jpeg?w=280&h=280)
