Challenges In Industrial Automation and how Multidisciplinary Design Optimization can help
CHALLENGE - Industrial robots are sophisticated systems incorporating hardware, and increasingly, software components. Subsystem design and interactions between elements such as machine interfaces, safety integration, field buses, etc. must be carefully planned. Cost pressures have made robots a commodity due to design challenges in developing lighter components, solving control problems and integration with third party electrical and mechanical quality standards.
SOLUTION - In the Twin Robot Xbar Press Tending Robot System, one of ABB’s flagship robots, engineers considered 18 design variables and satisfied all objectives and constraints in modeFRONTIER achieving a 12% energy saving solely by varying software components. By inserting virtual control models in the simulation framework, designers could apply the optimization approach, calibrate the software and identify zero-cost solutions.
BENEFITS - ESTECO technology keeps pace with evolving R&D needs and provides designers with a flexible environment that handles each delicate step of complex system analysis and enhancement. As seen in the example of the robot, inserting virtual control models in the simulation framework enables designers to apply the optimization approach, calibrate the software and to identify zero-cost solutions.
"The ability to manage mechatronics is becoming increasingly important as simulation encompasses more and more systems and not just components: the impact of the mechanics, electronics and software all need to be accounted for. Daniel Wappling, ABB