Reducing press defects with ultra-small, ultra-high-precision strain sensors.
In short, it is a "sensing system that detects phenomena occurring within the mold." The biggest concerns in the press shop are defective parts and mold failures. Capturing the mechanism of defects in press parts is a significant challenge, and reducing defects is a strong desire in the manufacturing field. Press monitoring is a sensing system that uses various sensors to address these issues. This system measures slight deformations in the press mold and visualizes them with high precision. By collecting and analyzing data to identify the causes of defects and monitor for early signs, it contributes to defect reduction and extends mold lifespan.
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basic information
1) Sensor Body Specifications a) Cable Output Digital: Serial IN, OUT, Chip Select, Clock Analog: Analog Output b) Current Voltage (VDD): Supports 3.3V/5.0V c) Operating Temperature: -20℃ to 70℃ d) Digital Communication Method: SPI (not standard SPI due to proprietary specifications) e) Minimum Resolution: ±1με (0.5με) f) Digital Output: Equipped with A/D converter g) Analog Output: Full Scale: 0.5V to 5V 2) Visualization Software Operating Environment Specifications a) OS: Windows 10 or later, 64-bit (Pro recommended) b) CPU: Core i5, 4 cores, 2.4GHz or higher c) Memory: 8GB or more d) GPU: Intel HD Graphics 620 or higher e) Drive: 512GB or more
Price information
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Applications/Examples of results
"Specific Effects" 1) Prediction and prevention of mold punch defects 2) Prevention of scrap accumulation and scrap entrapment 3) Prevention of double punching 4) Extension of mold lifespan due to reduction in downtime, etc.
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Company information
Our company was founded in 2010 and has recently celebrated its 10th anniversary. Over the past decade, the introduction of IoT and M2M, which originated from Germany's Industry 4.0, has progressed, but we are still often asked how to make use of the vast amounts of data collected. Issues such as on-site malfunctions, rework, equipment minor stops, major stops, and unexpected mold failures leading to production halts have not improved at all. We have been chosen by the field and have made a commitment to refine useful tools and systems that align closely with our customers' sites. The keyword is "realization" that truly benefits the field. We are promoting internal reform through four projects to practice "collecting ⇒ viewing ⇒ analyzing ⇒ utilizing" data at our customers' sites. Our approach does not start with the introduction of IoT; instead, we begin with hearing our customers' challenges. Rather than big data, we carefully select and collect data that is deemed necessary, starting with one process and then expanding to the next process, which we recommend as a small start. This allows us to proceed without the large initial investment typical of core systems, while observing the effects. If you are looking to solve the challenges currently facing you, please feel free to consult with us.