2,500 P/R Stepper Motor With Brake - 35 N·m closed loop NEMA 42

2,500 P/R Stepper Motor With Brake for High-Resolution Heavy Axes

The 130J12225EC-2500-SC is a 2,500 P/R Stepper Motor With Brake rated at 35 N·m holding torque in a 225 mm body at 6.8 A per phase on a 24 mm shaft. It differs from the 17-bit variant in its feedback system: a 2,500 P/R encoder provides the position signal.

Finer Position Granularity

The higher line count of the 2,500 P/R encoder gives finer position granularity than a 1,000 P/R system while remaining compatible with simpler drives. Position is measured directly at the rotor, so the loop corrects error continuously rather than trusting open-loop step counts.

Brake and Load Holding

The integrated brake engages on power loss, holding the load in place. Combined with 35 N·m of holding torque, this makes the motor suitable for heavy axes that must not move during idle periods or power interruptions.

Specifications

• Motor type: 3-phase hybrid stepper, closed loop, with brake
• Frame size: NEMA 42
• Body length: 225 mm
• Phase current: 6.8 A
• Holding torque: 35 N·m
• Shaft diameter: 24 mm
• Feedback: integrated 2,500 P/R encoder

Applications

CNC machine tools, heavy factory automation, and precision robotic mechanisms are the core fit. The high-resolution feedback suits rotary table indexing where fine increments over a large diameter are required. Lyenwsin supplies this 2,500 P/R Stepper Motor With Brake with matched drives and technical documentation.

Large-Axis Layout

On rotary tables, confirm that the brake release sequence is synchronized with the table lock so the indexer never free-wheels. Allow space for the 225 mm body and the brake wiring at the rear of the machine. The 6.8 A rating requires a drive and supply sized for continuous heavy-duty operation. For vertical large-axis feeds, ask our engineers to confirm the brake holding torque covers the gravitational load plus process forces. This 2,500 P/R Stepper Motor With Brake delivers the resolution and fail-safe holding that large indexing systems need.