Digitalization and new manufacturing techniques have paved the way for a dramatic improvement in lead times.
MIT researchers have developed an algorithm that accurately aligns partial trajectories in real-time, allowing motion predictors to accurately anticipate the timing of a person’s motion to make human-robot interaction safer.
Cover Story: Automation technologies continue convergence across platforms and computer numerical control (CNC) technology advances, along with faster control hardware and software, allow engineers to complete more accurate cuts in less time.
Articles about the Career and Salary Survey, CNC digitalization, alarm management and process safety, process instrumentation education, and asset performance in refineries were Control Engineering’s five most clicked articles from June 3-9. Miss something? You can catch up here.
International: Just because something can be automated doesn’t mean it should. Pay attention to the details. High-profile mission-critical automation applications and smaller-scale control systems should optimize reliability, safety and efficiency.
Inside Machines: Motion control product demand has increased for many machine design applications as the economy has improved. However, different markets have different expectations and needs, forcing suppliers to be flexible.
Cover Story: Computer numerical controls (CNC) trends for machine control include easier integration of systems, such as measuring probes, to save up to 90% setup time.
Cover Story: VDW, the German Machine Tool Builders’ Association, said the first concrete OPC UA companion specification based on a realistic set of parameters will be presented at EMO Hannover 2019 in September. The interface allows data exchange from and among machines with different control systems. See more answers in “Flexibility in a marketable standard.”
MIT researchers have developed an autonomous control system that “learns” the steering patterns of human drivers as they navigate roads in a small area, using only data from video camera feeds and a simple GPS-like map. See video.
The Duke-led GUIde Consortium develops faster, more accurate simulations of turbine blade vibrations to help aeronautical engineers develop safer jet turbines with lower maintenance costs.