Quality Prediction of Reamed Bores Based on Process Data and Machine Learning Algorithm: A Contribution to a More Sustainable Manufacturing
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DOI: 10.1016/j.promfg.2020.02.180
Abstract: Abstract During the manufacturing of machined workpieces with very narrow tolerances in serial production, slight quality deviations can cause high scrap rates and a waste of resources. In-process quality surveillance makes it possible to take… read more here.
Keywords: machine; quality; reamed bores; process data ... See more keywords