IRB 140 Robot

IRB 140 industrial robot is a six axis multipurpose robot that handles payload of 6 kg, with long reach (810 mm). The IRB 140 can be floor mounted, inverted or on the wall in any angle. Available as Standard, Foundry Plus 2, Clean Room and Wash versions, all mechanical arms completely IP67 protected, making IRB 140 easy to integrate in and suitable for a variety of applications. Uniquely extended radius of working area due to bend-back mechanism of upper arm, axis 1 rotation of 360 degrees and flexible mounting capabilities.
IRB 140 Foundry Plus 2 and Wash versions are suitable for operating in extreme foundry environments and other harsh environments with high requirements for corrosion resistance and tightness. In addition to the IP67 protection, excellent surface treatment makes the robot high-pressure steam washable. The white-finish Clean Room version meets clean room class 10 regulations, making it especially suited for environments with stringent cleanliness standards.

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  • SUPPLIER
  • ABB
    ABB is a global leader in power and automation technologies. Their solutions improve the efficiency, productivity and quality of their customers’ operations while minimizing environmental impact.
  • SNAPSHOT
  • IRB 140
    Devices
    SCARA Robots
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  • Application Industries
  • Chemicals
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  • Application Functions
  • Process Manufacturing
    Product Development
  • USE CASES
  • Factory Operations Visibility & Intelligence
    Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle.Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.  
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