Surface Roughness Model Based on Force Sensors for the Prediction of the Tool WearReportar como inadecuado




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Department of Manufacturing Engineering, Industrial Engineering School, National University of Distance Education UNED, C-Juan del Rosal, 12, E28040-Madrid, Spain





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Abstract In this study, a methodology has been developed with the objective of evaluating the surface roughness obtained during turning processes by measuring the signals detected by a force sensor under the same cutting conditions. In this way, the surface quality achieved along the process is correlated to several parameters of the cutting forces thrust forces, feed forces and cutting forces, so the effect that the tool wear causes on the surface roughness is evaluated. In a first step, the best cutting conditions cutting parameters and radius of tool for a certain quality surface requirement were found for pieces of UNS A97075. Next, with this selection a model of surface roughness based on the cutting forces was developed for different states of wear that simulate the behaviour of the tool throughout its life. The validation of this model reveals that it was effective for approximately 70% of the surface roughness values obtained. View Full-Text

Keywords: dry turning; aluminum alloys; force sensor; surface roughness models; tool wear; design of experiments; ANOVA; regression dry turning; aluminum alloys; force sensor; surface roughness models; tool wear; design of experiments; ANOVA; regression





Autor: Beatriz de Agustina * , Eva María Rubio and Miguel Sebastián

Fuente: http://mdpi.com/



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