This coupling variant was designed for machining spindles, flying shears and other applications with shock loads that can't have any backlash. The couplings have conical sleeve hubs for keyless torque transmission in highly dynamic, reciprocating loads. They work well with high-speed applications with frequent load reversals or stops, with no backlash characteristics and a high clamping force and concentricity. They have a positive stop on the conical ring, which ensures clamp screws will tighten to the right torque during installation, but the ring can't be tightened more than needed, so they are much easier to remove from shafting. Sizes range from 10 Nm (89 lbs-inch) to 2150 Nm (19027 lbs-inch), and can take English or metric bores with 6- to 80-mm diameters.
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.