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Plastic Thermoforming Machine

Plastic Thermoforming Machine - Four Station

Model:RS-750-800-4
RS-750-800-4 Positive and Negative Pressure Multi-Station Plastic Thermoforming Machine This machine adopts internationally advanced plastic sheet forming technology, featuring a mechanical, pneumatic and electrical integrated design. It can automatically perform sheet loading, feeding, heating, forming, punching, cutting, stacking, finished product conveying and ...

Plastic Thermoforming Machine - three station

Model:RS-750-800-3
RS-750-800-3 Positive and Negative Pressure Multi-Station Plastic Thermoforming Machine adopts internationally advanced plastic sheet forming technology. It is a plastic sheet forming machine with an integrated mechanical, pneumatic and electrical design. It can automatically complete a full range of processes including loading, feeding, heating, forming, punching, cutting, sta...

Fully Automatic Plastic Thermoforming Machine

Model:RS-750-610-4
RS-750-610-4 Positive and Negative Pressure Multi-Station Plastic Thermoforming Machine The RS-750-610-4 positive and negative pressure multi-station plastic thermoforming machine adopts internationally advanced plastic sheet forming technology. It is a plastic sheet forming equipment designed with integration of machinery, pneumatics and electricity. It can automat...

Plastic Thermoforming Equipment

Model:RS-650-450-4
RS-650-450-4 Positive and Negative Pressure Multi-Station Plastic Thermoforming Machine The RS-650-450-4 positive and negative pressure multi-station plastic thermoforming machine adopts internationally advanced plastic sheet forming technology. It is a plastic sheet forming equipment with an integrated mechanical, pneumatic and electrical design. It can automatically complete all pro...

Bowl Making Machine with Acoustic Emission Tooling Health Monitoring​

2026-01-25
To enable predictive maintenance of high-value forming molds, bowl making machines are being fitted with acoustic emission (AE) sensors directly mounted on the mold blocks. These piezoelectric sensors listen to the high-frequency stress waves (30 kHz – 1 MHz) generated within the tool steel during each forming cycle. A baseline "acoustic signature" of a healthy mold is established. As the tool undergoes thousands of cycles, micro-cracks begin to form, and the release of energy from these cracks changes the acoustic signature. Machine learning algorithms analyze the real-time AE data, detecting the onset of tooling fatigue hundreds of cycles before a crack becomes visible or causes a part defect. The system alerts maintenance to schedule polishing or repair during the next planned downtime, preventing catastrophic mold failure that could cause weeks of production delay and hundreds of thousands in unplanned cost.
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