Songu Laser CMH3015-C
Fiber laser cutter with 3000 × 1500 mm bed and 12 kW power for series production and precision cutting.
Machine
Songu HyTube12022A-S1 tube laser line
Fully automated 12 kW fiber laser production line for cutting and marking tubes and profiles up to 12 m long, with integrated loading, unloading and robotic stacking.
Technical Attributes
| Base model | HyTube12022A-S1 |
|---|---|
| Laser power | 12,000 W fiber laser |
| Control system | FSCUT5000 CNC |
| Tube diameter range | Φ20–220 mm |
| Max loading length | 12,000 mm |
| Max unloading length | 3,000 mm |
| Max feed speed | 100 m/min |
| Positioning accuracy | ±0.1 mm / 1000 mm |
| Repeat positioning accuracy | 0.2 mm / 1000 mm |
| Chucks | 2 × 200 kg load capacity |
| Min. surplus material length | 200 mm |
| Robotic gripper capacity | up to 8,000 kg |
| Overall dimensions | 30000 × 8500 × 2600 mm |
| Power supply | Three-phase 380 V / 50 Hz (100 kW) |
Description
This customized production line, based on the HyTube12022A-S1 platform, pairs a 12,000 W fiber laser source with an FSCUT5000 CNC to process tubes and profiles from Φ20 to Φ220 mm at loading lengths up to 12,000 mm and feed speeds reaching 100 m/min. The workflow chains a loading station, a bed feeding station, a cutting and marking station, an unloading conveyor and a robotic stacking station into one continuous cycle. Adaptive magnetic grippers handle stacked loads of up to 8,000 kg, while two chucks rated at 200 kg each hold the workpiece with a positioning accuracy of ±0.1 mm per 1000 mm. The machine cuts carbon steel, stainless steel, aluminum, titanium and coated sheet, running on a three-phase 380 V/50 Hz supply.
Use Cases and Best Fit
Songu HyTube12022A-S1 tube laser line is a strong fit for teams evaluating Songu machines and looking for a practical choice with clear technical positioning and straightforward production integration.
- Useful for buyers comparing machines in the Songu segment before moving into quote and specification review.
- Best fit for technical and commercial teams that want a faster path from machine research to validated project discussion.
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