Smart automation solutions for machine tools enable increased productivity
In an increasingly competitive marketplace smarter machine tools can offer big advantages to production facilities such as increased flexibility, efficiency gains and reduced down-time. At EMO 2019 Mitsubishi Electric will be showing how these goals can be met with connected production systems, intelligent control systems, Edge Computing and partner solutions.
Intelligent Control Systems
Faster time to market and increased production flexibility can be achieved using Mitsubishi Electric’s M8 Series CNC controllers with Direct Robot Control (DRC) functionality.read more
Preventing unscheduled downtime is one of the most effective cost reduction measures in any production environment. Mitsubishi Electric is offering practical solutions for both machine tools and robots.read more
The implementation of umati (universal machine tool interface), which enables machine tools to exchange and share information efficiently, has tremendous potential for optimising production.read more
Experience it at the EMO 2019
Plug & Play robots for machine tools increase competitiveness
Faster time to market and increased production flexibility can be achieved using Mitsubishi Electric’s M8 Series CNC controllers with Direct Robot Control (DRC) functionality. Both the large touchscreen M800 and the M80 models offer DRC as standard. It allows machine tool operators to program and use robots quickly, direct from the CNC panel without specialist robot programming expertise.
The easy integration of robots for loading and unloading, or secondary operations such as marking parts has the potential to deliver significant benefits to commercial machining operations. Mitsubishi Electric robots and models from KUKA will work seamlessly with DRC enabled controllers from Mitsubishi Electric. The CNC controller and robot are connected using high-speed Ethernet, which allows fast, convenient Plug & Play integration.
The other major benefits of on-CNC robot control are cost savings; a separate robot control unit no longer has to be purchased for example. Furthermore, robot specialists aren’t needed to alter less complex actions, as the operators can make changes to robot functions themselves by programming in G-code via the CNC.
Mitsubishi Electric is one of the top three CNC manufacturers, serving many of the world’s most successful machine tool companies, so these solutions are likely to appear soon on many shop floors. Manufacturers and machine tool operators will both benefit from robots being used for repetitive tasks on shorter production runs. More flexible operation and higher production volumes lead to improved competitiveness and the opportunity for increased profit.
Predictive maintenance solutions for machine tools reduce cost the Smart way
Preventing unscheduled downtime is one of the most effective cost reduction measures in any production environment. Mitsubishi Electric is offering practical solutions for both machine tools and robots. At EMO 2019, Mitsubishi Electric will be demonstrating two of its predictive maintenance solutions available to customers.
Mitsubishi Electric and its e-F@ctory Alliance partner Lenord + Bauer have developed an advanced condition monitoring system for machine tools. It utilises smart encoders and a direct communication interface within Mitsubishi Electric machine controllers, such as CNCs, for accurate status information that is easy to access.
Operating hours are recorded and monitored along with temperature, speed and position by the Lenord + Bauer MiniCODER range. These parameters are then used to help schedule maintenance activities by providing an early warning message when component servicing or replacement are required. The ferromagnetic measuring gear and scanning unit can record speeds of up to 100,000 revolutions per minute, making the system ideal for feedback on machine tool spindles and positioning systems.
The second solution on the stand uses AI to increase the effectiveness of predictive maintenance. The cloud-based solution using the AI platform within IBM Watson analyses operational data and can optimise maintenance regimes based on actual usage and wear characteristics. It can be applied to robots and other equipment such as machine tools.
Both smart solutions demonstrate how predictive maintenance for machine tools and robots can reduce operational costs, increase asset productivity and improve process efficiency. Visitors to the stand can speak to Mitsubishi Electric’s engineers to learn about additional predictive maintenance solutions that may also be appropriate for their applications.