Ed Vernon, a technician at Sandia National Labs, patented a silicon microchain that measures 50 microns from chain link center to center. "This chain could not have been fabricated anywhere else in the world," he says. The chain was fabricated at the Micro-electronics Development Lab (MDL) using the patented SUMMiT V surface micromachining process. "My research shows that the smallest conventionally machined chains are currently used in cameras to operate shutters," says Vernon. He expects that eventually the microchain will have as many applications as macro-scale chains do. "One great advantage of chains is the ability to operate more than one device from a single source," he explains. "This was the driver for my design." Currently, the drivers for surface micromachined devices use about one third of the real estate available for design. The microchain could drive MEMs devices from a motor situated at a distance, thereby saving precious real estate on MEMs-bearing chips. For more information go to Sandia.gov or call Vernon at (505) 844-6706.
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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