3D Sock Machine
Functional features: supports 3D knitting (such as terry socks, pressure socks, sports socks), and realizes complex patterns through multi-color electronic yarn changing system
Technical parameters: Speed 220-320 RPM, suitable for high elastic yarn.
Application scenarios: sports protective gear, medical pressure socks, winter thickened terry socks, etc.
Flat Sock Machine
Basic functions: efficient production of ordinary flat socks (such as boat socks, short tube socks), support two-color elastic band and independent stepper motor control.
Energy saving: the main motor power is 1.1kW, and the oil-immersed drive mechanism is used to reduce energy consumption.
Market differentiation advantage
Intelligent control system: equipped with industrial-grade PLC and touch screen interface, supports pattern programming, fault self-checking, and reduces manual intervention.
Compatibility and scalability: adapt to a variety of materials such as cotton, nylon, spandex, etc., and can support the production of derivatives such as knee pads and gloves through module upgrades.
After-sales service guarantee: provide 1 years of core component warranty and support remote debugging by global technical teams.
| Model: | WSD-6FPT-I |
| Brand: | WISDOM |
| Type: | Terry And Plain Sock Machine |
| Diameter: | 3.5 inch / 3.75 inch / 4 inch /4.5 inch |
| Needle: | 72-176 N |
| G.W: | 350 KG |
| N.W: | 300 KG |
| Packing Size: | 110*75*165cm |
| Payment: | 30% Deposit 70% against BL copy |
| Production time: | 45-60 days after the deposit comfirmed |



FAQ:
How can intelligent control systems reduce enterprise operating costs?
Automated production: Industrial-grade PLC and touch screen support pattern programming, reducing the time-consuming manual design (such as the traditional manual adjustment of mechanical structure, now you can import patterns with one click);
Fault self-checking: Real-time monitoring of equipment status, automatic prompt of fault location (such as yarn breakage, component wear), reducing downtime for troubleshooting (average savings of 30% maintenance costs);
Data management: Record production data (such as output, energy consumption) to help optimize production processes.
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