The Department of Energy has awarded Hensel Phelps Construction Co. of San Jose, CA, a $65.5 million contract to complete architectural build-out and finishing of the structure to house the National Ignition Facility (NIF), the world's largest laser. The contract is the largest single subcontract for the NIF construction project. The NIF is a stadium-sized, $1.2 billion, 192-beam laser complex now under construction at the DoE's Lawrence Livermore National Laboratory. Slated for completion in 2003, the facility is expected to create brief bursts of self-sustaining fusion reactions similar to those occurring in the sun and stars. The resulting data will help the DoE maintain the safety and reliability of the nation's nuclear weapons stockpile without underground testing, while providing benefits in basic science, astrophysics and commercial fusion power production. For more information on the NIF, contact Gordon Yano, LLNL Public Affairs, at (510) 423-3117.
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.
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.