IRB6600 – ABB Module

Model Number:IRB 6600 3HAC020208-001

Module Version:DSQC611/3HAC13389-2, 3HAC020849-001

Motor Type:Rotational AC Motor, M11

Speed Range:2,000 to 7,000 RPM

Torque Capacity:Up to 20 Nm

Power Consumption:1.1 kW

Control System Compatibility:ABB IRC5 Compact

Load Capacity:Up to 6 kg

Working Radius:1,650 mm

Repeatability:±0.01 mm

Cycle Time:≤0.3 sec

Max Joint Speed:180 deg/sec

    Integrating advanced engineering principles, the ABB IRB6600 3HAC020849-001 Rotational AC Motor, M11 is designed to withstand the rigors of industrial use without compromising on performance or safety. With its robust build quality and high-efficiency induction motor technology, it delivers consistent and reliable operation under varying conditions.

    Featuring a compact yet powerful design, this motor is optimized for integration into complex industrial automation systems. Its compatibility with ABB’s DSQC611 interface card ensures seamless connection to control systems, enabling precise speed adjustments and enhanced operational flexibility.

    Engineered for durability, the ABB IRB6600 motor incorporates the latest advancements in material science to ensure longevity and reduce maintenance requirements. Its compatibility with 3HAC13389-2 further enhances its utility in specialized industrial applications, making it an ideal choice for manufacturers seeking to optimize their production processes.

    With its 5-year warranty period, users can rely on the ABB IRB6600 3HAC020849-001 Rotational AC Motor, M11 for peace of mind, knowing they are protected against defects and performance issues during its lifecycle. This commitment to quality and customer satisfaction sets it apart in the industrial motor market.

    This motor is designed to enhance productivity and efficiency in various industries including manufacturing, automotive, and food processing. Its ability to seamlessly integrate into existing systems, coupled with its robust performance capabilities, makes it an indispensable component for achieving optimal operational outcomes.