A comparative study on performance of cermet and coated carbide inserts in straight turning AISI 316L austenitic stainle
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ORIGINAL ARTICLE
A comparative study on performance of cermet and coated carbide inserts in straight turning AISI 316L austenitic stainless steel Youssef Touggui 1,2,3
&
Salim Belhadi 2 & Alper Uysal 3 & Mustapha Temmar 1 & Mohamed Athmane Yallese 2
Received: 10 June 2020 / Accepted: 9 November 2020 # Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract In this comparative study, response surface methodology (RSM) was utilized to predict the surface roughness (Ra) and cutting force (Fz) when dry turning of AISI 316L austenitic stainless steel using cermet (GC1525) and coated carbide (GC1125) inserts. A constitutive relationship was attained correlating the prediction responses with three input parameters including cutting speed (Vc), feed ( f ), and depth of cut (ap). The models were developed using twenty-seven experiments carried out based on Taguchi L27 orthogonal array. The formulated models’ accuracy was checked based on the coefficient of determination (R2), mean absolute percentage error (MAPE), and root mean square error (RMSE). Furthermore, three optimization methods, namely simulated annealing (SA), genetic algorithm (GA), and desirability function, were used to determine a set of optimal cutting parameters leading to minimize Ra and Fz separately and simultaneously. The results revealed that RSM models provided precise assessments of Ra and Fz. Regarding to the inserts’ performance, it was obtained that the coated carbide insert produced better surface quality and minimum cutting force than the cermet insert. On the other hand, the cermet insert was found to have higher tool life than that of coated carbide insert with a ratio (tool lifeGC1525/tool lifeGC1125) of 1.25. Finally, according to optimization analysis, it was referred that the GA method was indicated better capability to achieve the optimum solutions that lead to the minimum Ra and Fz values separately and faster than the SA method. Proceeding from that, it was utilized in the multi-objective optimization in order to minimize Ra and Fz simultaneously and then compared with desirability function. Keywords Surface roughness . Cutting force . RSM . Cermet . Coated carbide . Stainless steel . Optimization
1 Introduction Stainless steel materials have been preferred in various fields such as food, medical, aerospace, and automotive industries due to their high ductility, high creep rupture strength, high temperature, etc. properties [1]. However, they are classified as difficult-to-machine owing to the low thermal conductivity, work hardening tendency, and high built up edge (BUE) formation [2].
* Youssef Touggui [email protected] 1
Structures Research Laboratory (LS), University of Blida1, 9000 Blida, Algeria
2
Mechanics and Structures Research Laboratory (LMS), May 8th 1945 University of Guelma, 24000 Guelma, Algeria
3
Department of Mechanical Engineering, Yildiz Technical University, 34349 Beşiktaş, Istanbul, Turkey
In literature, some investigations have been conducted with relation to machining of these materi
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