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Structural Engineering and Mechanics
  Volume 70, Number 4, May25 2019 , pages 395-405
DOI: https://doi.org/10.12989/sem.2019.70.4.395
 


Multi response optimization of surface roughness in hard turning with coated carbide tool based on cutting parameters and tool vibration
Ouahid Keblouti, Lakhdar Boulanouar, Mohamed W. Azizi and Abderrahim Bouziane

 
Abstract
    In the present work, the effects of cutting parameters on surface roughness parameters (Ra), tool wear parameters (VBmax), tool vibration (Vy) and material removal rate (MRR) during hard turning of AISI 4140 steel using coated carbide tool have been evaluated. The relationships between machining parameters and output variables were modeled using response surface methodology (RSM). Analysis of variance (ANOVA) was performed to quantify the effect of cutting parameters on the studied machining parameters and to check the adequacy of the mathematical model. Additionally, Multi-objective optimization based desirability function was performed to find optimal cutting parameters to minimize surface roughness, and maximize productivity. The experiments were planned as Box Behnken Design (BBD). The results show that feed rate influenced the surface roughness; the cutting speed influenced the tool wear; the feed rate influenced the tool vibration predominantly. According to the microscopic imagery, it was observed that adhesion and abrasion as the major wear mechanism.
 
Key Words
    cutting parameter; surface roughness; wear; vibration; hard turning; coated carbide; multi-objective optimization
 
Address
Ouahid Keblouti: Département Construction Mécanique et Productique, FGM&GP. Université des Sciences et de la Technologie
Houari Boumediene. B.P. 32, El-Alia Bab-Ezzouar 16111, Alger, Algérie
Ouahid Keblouti, Lakhdar Boulanouar, Mohamed W. Azizi and Abderrahim Bouziane: Advanced Technologies in Mechanical Production Research Laboratory (LRTAPM),
Badji Mokhtar Annaba University BP12, Annaba, 23000, Algeria.
Mohamed W. Azizi : Département science technique/Centre Universitaire Abdelhafid Boussouf- Mila, 43000, Algeria
 

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