Bo Andersson built a wind-powered generator just because he wanted one to use as a foundation for more experiments. When people said his idea to use a truck "rear end," or differential, to transmit wind power to a generator on the ground wouldn't work, he went ahead and put it on top of a 30-ft tower. Now Bo puts power back into the grid. And he can truly reap the wild wind.
Bo didn't listen to the nattering negative naysayers and got the job done. The reason it worked is because it's been done successfully many times and beginning years back. Differentials from old junked cars, etc. have been a convenient source for mechanical drives since the Model A. Considering he's been around a few years, Andersson may have even seen such a setup or read about one. Actually seeing or knowing firsthand something works is better than any number of people who think they know why it won't. Good for him!
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.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.