Navy Funds Development of Tool to Model Biofuel Performance
The Navy has granted University of Wisconsin researchers $2 million to develop a tool that can model the performance of biofuels to help identify one it can use to power aircraft carriers, like the one shown, as well as submarines and other seafaring vehicles. The work is part of the military's ongoing interest in exploring alternative methods to fossil fuels for energy. (Source: Navy)
That military-to-private-sector technology development flow is what used to be the case with electronics back in the day (60s, 70s, even 80s), but changed when the whole military picture changed in the late 80s. Now it seems like in other, non-electronics technologies, especially alternative energy, that the military is back in the invention business again, or at least funding it, like they are with a lot of robotics research.
Seems like agood idea but I think auto manufacturers would need a strong incentive to use it in the private sector. If the research labs for BMW or Mercedes used this, it would be a boost and others would follow. German engineers have been very resistant to alternative fuels.
Ann, true. Most of the advance research outputs are from defence research labs and later on the technologies are transferring to public/private companies for common man benefits. Hopefully we can expect the similar path in case of bio fuel also.
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
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Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
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