Chicago-based motor manufacturer Bodine released its new Incodermotors with built-in encoders for Bodine’s selection of gearmotors and permanent magnet DC and brushless DC motors. The encoders have little visual presence, with the exception of a protruding cord to connect to monitoring systems. The encoders are built inside the motor casing, which Bodine says protects them from often harsh environments.
These magnetic encoders are available with one or two hall sensor output signals with resolutions of 2, 4, 8 and 30 pulses per revolution. The encoders run on 4.5 to 12V. Incodermotors are suitable for OEMs with specific applications in factory automation, conveyor belts, gate and door openers, guided vehicles, commercial ovens and mobility equipment.
The Incodermotors have been pre-wired and tested, and can measure position, speed, distance and direction when combined with a digital tachometer or other monitoring devices. Bodine’s business model is standardized customization, so there is no set price for this application.
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.