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What is ANN Model for Burr Formation in Brass Drilling about?

This study develops an artificial neural network (ANN) model to analyze burr formation during flat bottom drilling of low-lead CuZn38As brass alloy, focusing on the effects of cutting tool geometry. The research demonstrates that variations in axial rake, radial rake angles, and edge radius can significantly influence burr formation, with the ANN model providing accurate predictions for these parameters. Results indicate potential reductions in burr formation at both entry and exit sides of the drilled hole

Author

wangyaya

Language

EN