By Juan José Aguilar Martin, José Antonio Yagüe Fabra
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O’Donnell, D. Dornfeld, Advanced monitoring of machining operations, CIRP Annals - Manufacturing Technology 59 (2010) 717–739.  T. Segreto, A. Simeone, R. Teti, Sensor Fusion for Tool State Classification in Nickel Superalloy High Performance Cutting, Procedia CIRP 1 (2012) 593 – 598.  E. J. Núñez, F. Mata, A. Sanz, Machining Control of Surface Roughness by Measuring Cutting Forces, Advanced Materials Research 498 (2012) 157-162.  I. Asiltürk, M. Çunkas, Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method, Expert Systems with Applications 38 (2011) 5826–5832.
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.  H. Hocheng, C. C. Tsao. The path towards delamination-free drilling of composite materials. Journal of Material Processing Technology (2005), vol 167, 251-264.  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.
Some papers refer to machining strategies in milling but only from the point of view of the definition of tool path strategies in order to improve the quality of the machined surface [4-6]. Sikumar  presents a framework for integrating different requirements in high speed milling. The best combination of cutting parameters is identified for two different objectives. In the case of rough end milling, the objective is oriented to MRV and in the case of finish end milling the objective is oriented to surface roughness.
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