“Undoubtedly, Nissan can sell some in the U.S. – a few thousand a year, perhaps 10,000 or 20,000 or 30,000,” Flint writes. “Some people will always want something new. But the Leaf is more likely to be a sales failure than a sales success.”
Flint cites four problems with the Leaf:
Range: “It promises 100 miles,” he says, “but expect that to be reduced by cold weather.”
Recharging: Flint predicts most recharging stations will be on the West Coast.
Recharging time: eight hours at 220V.
Price: Flint predicts the price may land close to $40,000. (Nissan has told Design News that it expects the price to be in the $30,000 range, but that figure isn’t set yet.)
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.