Researchers at Purdue University are working with industry to develop an "intelligent" system that could save U.S. companies $1 billion annually in manufacturing costs by improving precision-grinding processes for parts production.
Chengying Xu (left). a doctoral student in mechanical engineering at Purdue University, and Yung Shin, professor of mechanical engineering, review information on data acquisition and monitoring for a "computer numerical control" grinding machine, pictured in background. Commonly referred to as CNC machines, the grinders cost up to $1 million and are widely used in industry to manufacture parts. Shin is leading research work that uses artificial intelligence software to improve the precision of such CNC grinding machines, which potentially could yield annual savings of $1 billion for U.S. companies. (Purdue News Service photo/David Umberger)
"Precision grinding is currently an art that relies heavily on the experience and knowledge of employees who have been in the business for years," said Yung Shin, a professor of mechanical engineering who is leading the Purdue portion of the research. "The problem is that many factories don’t have enough of these very experienced people, so a lot of grinding processes are run under suboptimal conditions.
"Our system strives to enable relatively inexperienced employees to operate grinding machinery with the same precision as these rare, highly experienced workers."
Emil Venere | Purdue News
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