The engineering firm of Roush Industries Inc. has developed a propane- powered F-150 Ford pickup truck using an advanced liquid propane injection system. The Roush F-150 is designed and manufactured to operate solely on propane while providing the same horsepower, torque and drivability of an F-150 equipped with a gasoline-powered Triton V-8 engine. The goal of the propane conversion is lower emissions and reduced consumption of oil products.
The propane option is priced at $6,500 and includes a 20-gallon fuel tank mounted in place of the underbody spare tire. For customers needing increased range, a 50-gallon tank mounted in the truck’s bed is available.
The development of the propane-fueled F-150 was sponsored by the Propane Education and Research Council (PERC), a group that funds research and development of new and more efficient propane equipment. Once PERC chose Roush to develop the propane-fueled truck, the engineering firm delivered the Roush F-150 in 14 months. Roush is taking orders for the truck.
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.