NAGOYA株式会社ヤマナカゴーキン
| Exhibitor name |
株式会社ヤマナカゴーキン
Yamanaka Eng Co., Ltd.
|
|---|---|
| Booth NO. | 6A-601-4 |
| Address |
〒578-0901 大阪府 東大阪市加納4-4-24 4-4-24, Kano, Higashiosaka, Osaka, 578-0901 |
| Website | https://www.yamanaka-eng.co.jp/ |
| Phone number | +81-72-962-0676 |
| PR message | We offer two DX solutions: Smart Die Set uses sensors to monitor load waveforms for real-time defect detection and auto-stops. Mold Healthcare uses ultra-compact wireless sensors to predict mold lifespan. Both optimize production through data visualization. |
| The Main Item |
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| The name of Item[1] | Smart Die Set |
| Details[1] |
Automatically capture load waveforms for every stroke using "PiezoBolt," a bolt-type sensor embedded directly into your press machine, combined with our dedicated measurement system. The system instantly detects abnormalities by comparing current data against reference waveforms and automatically halts equipment to prevent further damage. At our booth, we are hosting a live monitoring demonstration. Experience firsthand our three distinct monitoring modes: Direct Waveform: Real-time raw data visualization. Reference Comparison: Identifying deviations from a "master" waveform. Trend Comparison: Detecting shifts based on the average of the last N strokes. This solution is ideal for those who want to: Reduce the time and effort spent investigating the causes of die cracking or molding defects. Automate equipment shutdowns the moment an abnormality occurs. Visualize the status of the processing point through data-driven insights. |
| The name of Item[2] | Mold Health Care |
| Details[2] |
Ultra-Compact 2.5mm Sensors: Wireless Real-Time Monitoring of Die Status Our ultra-compact semiconductor strain sensor (just 2.5mm square) utilizes Bluetooth connectivity for a completely wireless setup. In mass production trials, the system successfully captured continuous strain data over approximately 21,400 strokes, achieving an impressively low error rate of just 0.3%. By estimating the Maximum Principal Stress at potential fracture points from external strain values, the system can quantitatively predict exactly when a die will reach its functional limit. Visit us if you are facing these challenges: - Limited space: "There is no room to install conventional sensors." - Wiring headaches: "I want to avoid adding more cables to the setup." We invite you to come and see the actual device in person to discover how this tiny sensor can transform your maintenance strategy. |
| Category of Exhibit Items |
A. MOLDS, MOLD MATERIALS Molds L. CAD/CAM/CAE SYSTEM CAD/CAM/CAE System N. PARTS PROCESSING TECHNOLOGY metal casting/ forging P. ROBOT, AUTOMATION IoT, AI |
