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Growing Science » International Journal of Industrial Engineering Computations » Modeling and multi-objective optimization of surface roughness and productivity in dry turning of AISI 52100 steel using (TiCN-TiN) coating cermet tools

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 8 Issue 1 pp. 71-84 , 2017

Modeling and multi-objective optimization of surface roughness and productivity in dry turning of AISI 52100 steel using (TiCN-TiN) coating cermet tools Pages 71-84 Right click to download the paper Download PDF

Authors: Ouahid Keblouti, Lakhdar Boulanouar, Mohamed Walid Azizi, Mohamed Athmane Mohamed Athmane

doi 10.5267/j.ijiec.2016.7.002
Crossmark

Keywords: Machining processes, Surface roughness, Cutting force, Modeling, Coating tools, ANOVA, RSM

Abstract: The present work concerns an experimental study of turning with coated cermet tools with TiCN-TiN coating layer of AISI 52100 bearing steel. The main objectives are firstly focused on the effect of cutting parameters and coating material on the performances of cutting tools. Secondly, to perform a Multi-objective optimization for minimizing surface roughness (Ra) and maximizing material removal rate by desirability approach. A mathematical model was developed based on the Response Surface Methodology (RSM). ANOVA method was used to quantify the cutting parameters effects on the machining surface quality and the material removal rate. The results analysis shows that the feed rate has the most effect on the surface quality. The effect of coating layers on the surface quality is also studied. It is observed that a lower surface roughness is obtained when using PVD (TiCN-TiN) coated insert when compared with uncoated tool. The values of root mean square deviation and coefficient of correlation between the theoretical and experimental data are also given in this work where the maximum calculated error is 2.65 %.

How to cite this paper

Keblouti, O., Boulanouar, L., Azizi, M & Athmane, M. (2017). Modeling and multi-objective optimization of surface roughness and productivity in dry turning of AISI 52100 steel using (TiCN-TiN) coating cermet tools.International Journal of Industrial Engineering Computations , 8(1), 71-84.

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Journal: International Journal of Industrial Engineering Computations | Year: 2017 | Volume: 8 | Issue: 1 | Views: 2782 | Reviews: 0

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