Modeling and Optimization of Cutting Parameters during Machining of Austenitic Stainless Steel AISI304 Using RSM and Desirability Approach

Authors

  • Septi Boucherit
    Affiliation
    Mechanics and Structures Research Laboratory (LMS), Université 8 Mai 1945 Guelma, P. O. B. 401, 24000 Guelma, Algeria
  • Sofiane Berkani
    Affiliation
    Mechanics and Structures Research Laboratory (LMS), Université 8 Mai 1945 Guelma, P. O. B. 401, 24000 Guelma, Algeria
  • Mohamed Athmane Yallese
    Affiliation
    Mechanics and Structures Research Laboratory (LMS), Université 8 Mai 1945 Guelma, P. O. B. 401, 24000 Guelma, Algeria
  • Riad Khettabi
    Affiliation
    Mechanics and Structures Research Laboratory (LMS), Université 8 Mai 1945 Guelma, P. O. B. 401, 24000 Guelma, Algeria
  • Tarek Mabrouki
    Affiliation
    Applied Mechanics and Engineering Laboratory (LR-11-ES19), University of Tunis El Manar, ENIT, P. O. B. 37, Le Belvédère, 1002 Tunis, Tunisia
https://doi.org/10.3311/PPme.12241

Abstract

In the current paper, cutting parameters during turning of AISI 304 Austenitic Stainless Steel are studied and optimized using Response Surface Methodology (RSM) and the desirability approach. The cutting tool inserts used in this work were the CVD coated carbide. The cutting speed (vc), the feed rate (f) and the depth of cut (ap) were the main machining parameters considered in this study. The effects of these parameters on the surface roughness (Ra), cutting force (Fc), the specific cutting force (Kc), cutting power (Pc) and the Material Removal Rate (MRR) were analyzed by ANOVA analysis.
The results showed that f is the most important parameter that influences Ra with a contribution of 89.69 %, while ap was identified as the most significant parameter (46.46%) influence the Fc followed by f (39.04%). Kc is more influenced by f (38.47%) followed by ap (16.43%) and Vc (7.89%). However, Pc is more influenced by Vc (39.32%) followed by ap (27.50%) and f (23.18%).
The Quadratic mathematical models, obtained by the RSM, presenting the evolution of Ra, Fc, Kc and Pc based on (vc, f, and ap) were presented. A comparison between experimental and predicted values presents good agreements with the models found.
Optimization of the machining parameters to achieve the maximum MRR and better Ra was carried out by a desirability function. The results showed that the optimal parameters for maximal MRR and best Ra were found as (vc = 350 m/min, f = 0.088 mm/rev, and ap = 0.9 mm).

Keywords:

machinability, austenitic stainless steel, CVD coated carbide tool, ANOVA, RSM, desirability approach

Citation data from Crossref and Scopus

Published Online

2020-12-21

How to Cite

Boucherit, S., Berkani, S., Yallese, M. A., Khettabi, R., Mabrouki, T. “Modeling and Optimization of Cutting Parameters during Machining of Austenitic Stainless Steel AISI304 Using RSM and Desirability Approach”, Periodica Polytechnica Mechanical Engineering, 65(1), pp. 10–26, 2021. https://doi.org/10.3311/PPme.12241

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