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New tool can detect a precursor of engine-destroying combustion instability

A team of scientists from Tokyo University of Science has developed a machine learning-based tool to predict thermoacoustic oscillations in engines. The tool uses dynamical systems theory and can classify combustion into three states, identifying pressure fluctuations that indicate future combustion oscillations.

SourceTokyo University of Science·JournalAIAA Journal·TypeComputational simulation/modeling·DateNov 18, 2021

Making serial parts out of metal powder

Researchers at Fraunhofer Institute use selective laser melting to create serial parts out of metal powder, producing high-quality components with improved safety standards. The process reduces manufacturing cycle times by up to 40% and has the potential to decrease material costs by 50%.