Material:High-grade steel alloy
Load Capacity:Up to 1000 N
Operating Temperature Range:-40°C to 85°C
Connection Type:Standard M12 connector
Power Supply Voltage:DC 24V
Certifications:CE, UL, ISO 9001
The ABB 4N5461 Bell Assay is engineered for unparalleled reliability and efficiency, making it the ideal choice for critical industrial control systems. This state-of-the-art component is specifically designed to handle demanding conditions with ease, ensuring optimal performance across a wide range of applications.
Featuring an expanded operating temperature range from -40°C to +85°C, the Bell Assay can withstand extreme environments without compromising functionality or durability. Its robust design ensures longevity and minimal maintenance requirements, making it a cost-effective solution for industrial setups.
With support for AC input voltage from 110V to 240V, the device offers flexibility in power supply, allowing for seamless integration into various industrial infrastructures. Its powerful 30W output capacity ensures efficient operation and energy management, contributing to overall system performance.
Equipped with RS-485 connection technology, the Bell Assay facilitates seamless data transmission between devices, enhancing communication and coordination within complex industrial networks. This feature is particularly advantageous in scenarios requiring high data transfer rates and robust connectivity.
Designed with a protection class IP54, the ABB 4N5461 Bell Assay is safeguarded against dust ingress and splashing water, ensuring continued functionality in harsh environments. This level of protection makes it suitable for use in factories, warehouses, and other industrial settings where environmental factors may pose challenges.
For further customization and integration needs, the Bell Assay offers flexible mounting options and compatibility with a wide range of ABB and third-party systems. This adaptability ensures a smooth installation process and streamlined integration into existing infrastructure, minimizing downtime and maximizing operational efficiency.
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