Modeling and prediction of the average roughness of UNS S31600 in superfinishing turning
Multidiscipline Modeling in Materials and Structures
ISSN: 1573-6105
Article publication date: 24 December 2020
Issue publication date: 6 April 2021
Abstract
Purpose
The purpose of this paper is to realize an effective hybrid modeling (empirical-geometric) in order to describe the real behavior of the average roughness variation of the workpiece surface in turning with an elementary operation of superfinishing, using different analytic methodologies. The previous works are limited to describe the roughness for the usual elementary operations, citing the roughing and the semi-finishing, while this analysis builds technical rails for the industrialists in order to well conduct the operation of superfinishing in turning, by choosing the cutting parameters from the proposed model.
Design/methodology/approach
A statistical analysis of the average roughness measurements capability study, by the statistical process control method SPC and the ANN artificial neuron network, Levenberg–Marquardt's methods modified Monte Carlo SRM response surface.
Findings
The objective of this work was to describe the average roughness generated by the penetration of the cutting tool into a part in superfinishing turning. First, the authors used artificial colony analysis to determine optimal cutting conditions in order to have an average roughness lower than 0.8 µm. The cutting conditions selected: (1) the feed rate f ϵ [0.05; 0.2] mm/rev; (2) the pass depth ap ϵ [0.25; 1] mm; (3) the corner radius re = 0.2 mm and (4) cutting speed Vc ϵ [75; 100] m/min.
Originality/value
This work consists to realize an effective hybrid modeling (empirical-geometric) in order to describe the real behavior of the average roughness variation of the workpiece surface in turning with an elementary operation of superfinishing, using different analytic methodologies. The previous works are limited to describe the roughness for the usual elementary operations, citing the roughing and the semi-finishing, while this analysis builds technical rails for the industrialists in order to well conduct the operation of superfinishing in turning, by choosing the cutting parameters from the proposed model.
Keywords
Citation
Ech-charqy, Y., Radouani, R. and Essahli, M. (2021), "Modeling and prediction of the average roughness of UNS S31600 in superfinishing turning", Multidiscipline Modeling in Materials and Structures, Vol. 17 No. 3, pp. 596-614. https://doi.org/10.1108/MMMS-09-2020-0235
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited