Prediction of burr types in drilling of Al-7075 using acoustic emission and convolution neural networks
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DOI: 10.1109/access.2022.3186336
Abstract: The formation of exit burrs during the drilling of ductile metals such as aluminum is critical in precision manufacturing and manufacturing automation. Because drilling burrs are difficult to remove, methods to predict various burr types… read more here.
Keywords: neural networks; burr; burrs; prediction ... See more keywords