Mechatronics
Three ways to avoid motion-related safety pitfalls
Machine builders can help end users avoid motion-related safety incidents by performing risk assessments and ensuring proper equipment is installed.
Three tips for designing a trouble-free pneumatics system
Speed, force, and size are vital to the compressed air system, but so are external, internal, and safety considerations.
How to field test 3-phase squirrel cage motors
Maintenance of critical machines depends on the diagnostic electrical testing of installed 3-phase squirrel cage motors, interpretation of results and key points of physical inspection
Ensure software updates protect motion control
Product safety and operational safety of elevators require that software and software-updates are under control. See list of standards to help lower risk for motion control applications.
Motor repair answers via Virtual Training Day
Motor repair advice about applications, a motor detective story, and a common misconception about motor designs are among additional answers available after a motor repair educational course.
Top 10 ways to protect your VFD investment
Variable speed drives offer savings, if used properly
Automation helps with COVID-19, energy efficiency, robotics, non-contact motion control, STEM
Automation innovation has opportunities to help with COVID-19 pandemic response, energy efficiency, robotics, non-contact motion control using superconductivity, training and by creating increased interest in science, technology, engineering and math (STEM).
Cost-effective position control boosts stepper motor performance
Kit-based absolute encoders (position sensors) can make stepper motors a lower-cost option to servo motors for many industrial machinery motion control applications.
Drive train with AI, machine learning delivered to refinery
Siemens Large Drive Applications delivered a drive train, which includes artificial intelligence and machine learning to Deer Park Refinery located in Houston, Tex., one of the nation's largest refineries.
Coordinating complex behaviors among hundreds of robots
Duke University researchers have developed an approach to designing motion plans for multiple robots grows "trees" in the search space to solve complex problems in a fraction of the time.