With its EBM S400, Stratasys Inc. has ushered in a new way of making titanium parts. Producing fully dense parts in Ti6AL4V and Ti6AL4V ELI, the Electron Beam Melting technology eliminates the common barriers to working with titanium. Stratasys is the North American distributor for this unique rapid prototyping device that is manufactured by Arcam AB.
"The high speed electron beam system is the next generation of additive fabrication technology for rapid manufacturing of titanium parts," says CEO Scott Crump. "The machine creates parts comparable to wrought titanium and better than cast titanium, with a 95 percent powder recovery yield, which is unheard of in our industry." The company states that the EBM technology is three to five times faster than comparable laser-based machines. Titanium parts created on the system are accurate, near-net shapes and are HIP treatable. The company also offers cobalt-chrome and has ongoing material development for alloys that include stainless steel. For more information, go to http:// rbi.ims.ca/4933-544.
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.