By Juan José Aguilar Martin, José Antonio Yagüe Fabra
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Additional info for Advances in Materials Processing Technologies: Mesic V
García Sanz-Calcedo2 1 Technical School of Industrial Engineering, Department of Applied Mechanics and Engineering Projects, University of Castilla-La Mancha. Avda. Camilo José Cela, s/n 13071-Ciudad Real. Spain 2 Department of Mechanical, Energetic and Materials Engineering, University of Extremadura. Avda. Elvas s/n, 06006 Badajoz. es Keywords: Monitoring; turning CNC; surface finish; artificial neural networks; regression model. Abstract. On-line monitoring systems eliminate the need for post-process evaluation, reduce production time and costs, and enhance automation of the process.
The evolution of the cutting forces shows that the entry of the cutter with the roll-in technique is more gradual. The cutting forces gradually increase on every cutter revolution until the cutter reaches a uniform cut, meanwhile for the straight-in case, the tool is under the highest pressure very quickly. The way the chip is formed and the length of the arcs of engagement affect tool wear. Fig. 3 shows the evolution of the engagement arcs and chip thickness for both entries, straight-in and roll-in.
These smaller but implicit errors can well be evaluated through implementing a criterion based on areas and given by relation: A − Anom % DF = del Anom (2) In this equation Adel is the cumulative peripheral damage area or simply delaminated or damaged area; on the other hand, Anom is the nominal area of the drilled hole Fig. 4. Fig. 4. Diameter measurements for evaluating delamination in drilled holes according to Eq. (2) 38 Advances in Materials Processing Technologies In parallel, a study of the changes on the tool was conducted by applying Stereoscopic Optical Microscopy (SOM) techniques, through a Nikon SMZ800 Stereoscopic Microscope.
Advances in Materials Processing Technologies: Mesic V by Juan José Aguilar Martin, José Antonio Yagüe Fabra