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Looking to reduce costs, save time and enhance your design options? Take inspiration from real examples of manufacturer’s who have achieved all these and more.

Starting this month, TechFront has a new format that spotlights manufacturing research programs at key universities, followed by summaries of recent research in SME’s Journal of Manufacturing Systems, Journal of Manufacturing Processes and Manufacturing Letters, all published by Elsevier Ltd.

Data mining and Big Data are hot topics. Your company develops process mining software; how does it differ from data mining?

When Desktop Metal introduced its “office-friendly” Studio metal prototype printer earlier this year, the company renewed attention on the issue of safer materials for binder jetting, an additive manufacturing method.

Researchers at Penn State University (University Park, PA) have devised a novel method for sintering, a widely used manufacturing process for powdered materials. The new process, which uses much less time and energy than current approaches, could have global implications on manufacturing and energy savings and pave the way for new discoveries.

While suppliers are under more pressure than ever to produce precision parts faster and with less scrap, in-process metrology means manufacturers can detect as soon as possible when a part is going wrong, correcting the issue quickly and saving it from scrap.

Manufacturers need to embrace artificial intelligence to make their operations more efficient, a consultant said.

Yamaha Motor Co., Ltd., a manufacturer of diverse motorized products in Japan, has selected Siemens to provide product lifecycle management (PLM) software to support its digitalization initiative.

Vericut 8.1 includes a new additive manufacturing [AM] module that simulates additive and hybrid machining processes used in any order, and on any brand NC machine. AM has reached a maturity level and has proven to be a valuable addition to manufacturing strategies.

Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.