Title: Variability influence of machining context on tool tips wear estimation - application to dry turning of 42CrMo4 steel

Authors: Stéphane Segonds; Christian Bes; Frédéric Monies; Jean-Max Redonnet

Addresses: Institut Clément Ader, Bât 3PN, UFR PCA, 118 Route de Narbonne, 31062 Toulouse Cedex, France ' Institut Clément Ader, Bât 3PN, UFR PCA, 118 Route de Narbonne, 31062 Toulouse Cedex, France ' Institut Clément Ader, Bât 3PN, UFR PCA, 118 Route de Narbonne, 31062 Toulouse Cedex, France ' Institut Clément Ader, Bât 3PN, UFR PCA, 118 Route de Narbonne, 31062 Toulouse Cedex, France

Abstract: The present study evaluates the incidence of machining context variability such as tool tip grade or material grade changings on the dispersion of tool wear prediction. This permits adaptive model recalibration taking into account the overall machining context. By mixing both analytical model and experimental tests, the proposed approach exhibits the sensitivity of uncertain parameters on wear phenomenon. These sensitivities are further used to predict model accuracy for a given machining context. All the experiments have been conducted on 42CrMo4 steel grade using an exhaustive choice of available dedicated tips. [Received 23 February 2012; Revised 17 September 2012; Accepted 19 December 2012]

Keywords: dry machining; wear modelling; dispersion; cutting parameters; parameter uncertainty; variability; tool tips; tool tip wear; wear estimation; dry turning; 42CrMo4 steel; tool wear prediction; adaptive model recalibration.

DOI: 10.1504/IJMR.2013.055244

International Journal of Manufacturing Research, 2013 Vol.8 No.3, pp.277 - 295

Published online: 29 Jan 2014 *

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