This system has the capability to provide a "warm" shutdown, says Mike Miclot, marketing director in the company's Automation Control and Information Group. Warm shutdown can allow a robot to continue operating in three quadrants when a maintenance mechanic is detected working in the fourth, he says. The PLC handles multiple disciplines of control: discrete, motion, drive, process, position and PID loops, in addition to taking up the safety function. The GuardLogix controller achieves safety integrity level 3 safety control through a two-processor architecture that includes a safety primary and safety partner, according to the company. Safety logic, once tested and debugged through standard online editing and forcing, is locked in memory and can't be touched. Meanwhile, the controller functions as a regular controller, permitting editing and forcing of the control logic. The safety partner is configured automatically, the company says, and being part of the same system, needs no extra set-up or downloading. Visit the A-B GuardLogix website at http://rbi.ims.ca/4915-516.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.