Operating Temperature Range:-40°C to +85°C

Data Transfer Rate:10 Mbps

Number of Data Connections:8

Power Supply Voltage:DC 24V

Connectivity Type:RS-485

Dimensions (mm):112 x 90 x 35

Weight:0.25 kg

Material:Copper, ABS Plastic Housing

IP Rating:IP20

    The Allen-Bradley 1783-MX08T Copper Expansion Module is engineered to seamlessly integrate with various Allen-Bradley PLC systems, providing an efficient means to increase the I/O capacity without compromising on performance or reliability. This module is built with robust copper construction, ensuring durability and longevity in harsh industrial environments.

    Equipped with eight RS-485 ports, it enables the expansion of communication channels within an automation system, facilitating data exchange between PLCs and other devices. Its compatibility with Modbus RTU protocol ensures seamless integration with a wide range of industrial control systems, enhancing the overall efficiency and flexibility of the operation.

    Designed with a broad temperature range of -40°C to 70°C, this module can withstand extreme environmental conditions, making it suitable for applications in cold storage facilities, outdoor installations, and other challenging environments. The compact dimensions and lightweight design facilitate easy installation and maintenance, reducing downtime and costs associated with system upgrades.

    The use of high-quality copper material in its construction ensures low signal loss and superior conductivity, which are critical factors for maintaining high data integrity in industrial settings. This module also supports advanced diagnostic features, enabling users to monitor system health and troubleshoot issues quickly, leading to improved system uptime and reduced maintenance efforts.

    For industries requiring high levels of customization and scalability, the Allen-Bradley 1783-MX08T Copper Expansion Module offers a reliable solution. Its compatibility with Allen-Bradley‘s comprehensive range of PLC products ensures a cohesive integration into existing automation ecosystems, allowing for seamless expansion and optimization of control strategies.