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Vibration Prediction in Milling Process by Using Neural Network  

이신영 (군산대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.12, no.5, 2003 , pp. 1-7 More about this Journal
Abstract
In order to predict vibrations occurred during end-milling processes, the cutting dynamics was modelled by using neural network and combined with structural dynamics by considering dynamic cutting state. Specific cutting force constants of the cutting dynamics model were obtained by averaging cutting forces. Tool diameter, cutting speed, fled, axial and radial depth of cut were considered as machining factors in neural network model of cutting dynamics. Cutting farces by test and by neural network simulation were compared and the vibration displacement during end-milling was simulated.
Keywords
Neural Network; Milling Process; Cutting Dynamics; Vibration;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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