Download Advances in Materials Processing Technologies: Mesic V by Juan José Aguilar Martin, José Antonio Yagüe Fabra PDF

By Juan José Aguilar Martin, José Antonio Yagüe Fabra

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Wear (1996) vol. 194, 156-162. [6] R. Piquet, B. Ferret, F. Lachaud, P. Swider. Experimental analysis of drilling damage in thin carbón/epoxy plate using special drills. Composites: part A. Applied science and manufacturing (2000) vol. 131, 1107-1115. [7] H. Hocheng, C. C. Tsao. The path towards delamination-free drilling of composite materials. Journal of Material Processing Technology (2005), vol 167, 251-264. [8] C. C. Tsao, Y. C. Chiu. Evaluation of drilling parameters on thrust force in drilling carbon fiver reinforced plastic (CFRP) composite laminates using compound core-special drills.

The neuronal network model did not fit the individual data well, but the overall fit was better. Thus both models were valid for the monitoring of surface finish (Ra), with similar predictive efficacy. 8%), but required the signals of two sensors (dynamometer and piezotron), which raises the computational cost of the system. 3%), but only required one sensor (dynamometer), which entails a simpler and cheaper method with a lower computational cost. 5 0 1 5 9 13 17 21 25 Test No. 29 33 37 41 45 Fig.

The cutting forces, mechanical vibration and acoustic emission signals obtained using dynamometer, accelerometer, and acoustic emission sensors respectively have been extensively used to monitor several aspects of the cutting processes in automated machining operations. Notwithstanding, determining the optimum selection of on-line signals is crucial to enhancing system optimization requiring a low computational load yet effective prediction of cutting process parameters. This study assess the contribution of three types of signals for the on-line monitoring and diagnosis of the surface finish (Ra) in automated taper turning operations.

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