I am not going to waste a lot of time on the subject of hydrogen power.
I am an R&D engineer by profession and in all aspects of my life. I am a registered mining engineer as well as MBA and numerous BS degrees (that's bull sh*t but the BS degrees look good on a resume). All the peripheral things and degrees make no difference; it's the practical, final output that turns the wheel (torque at the rim so to speak). Why are we considering hydrogen as a motive fuel? It requires serious quantities of high level energy (electricity) to produce even a small amount of hydrogen and then we want to burn it or use it in other inefficient ways. The overall efficiency will be worse than electric heat in a home. We are already short on electric power and we are going to make hydrogen, compress it and then drive a vehicle? Even using fuel cells, the efficiency will be hard pressed to even approach that of the most inefficient battery powered devices. Seems like we will need a lot of Nuclear or other power plants to support this effort.
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.