News headlines this month have focused on the U.S. Navy's
investigation into the death of nine people in the Feb. 9 collision between an
American nuclear sub and a Japanese fishing vessel off Hawaii.
And yesterday authorities announced they had found evidence of
nine more people killed in another February submarine disaster. But the
parallels end there. This disaster happened in the Atlantic Ocean and it took
place a little earlier...136 years earlier.
It was found in 1995, lying under 28 ft of water in Charleston
harbor. And in August, 2000, engineers lifted the 40-ft boat onto a barge. The
operation demanded extensive finite element analysis, performed with ANSYS
version 5.6 (www.ansys.com), and required
that divers fill the hull with a bouyant foam called Froth Pak, from Flexible
Products Inc. (www.flexibleproducts.com).
Now, finally, the Hunley (www.history.navy.mil/branches/org12-3.htm)
is beginning the secret of its mysterious sinking. Archeologists are carefully
chipping sand and sediments off her pumps and ballast valves. And yesterday they
recovered three human ribs, a piece of cloth, and part of a leather belt,
presumably from the nine-man crew that had powered the boat with hand-turned
cranks. Check out www.hunley.org/html/frame.htm
for updates and further research.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
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.
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.