Investigation and optimization of machining parameters influence on surface roughness in turning AISI 4340 steel

• Main Authors: Deepanraj Balakrishnan, Raman Lakshmipathi Anantha, Senthilkumar Natarajan, Shivasankar Jayakumar
• Format: Article
• Language: English
• Published: University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2020-01-01
• Series: FME Transactions
• Subjects: machining parameter; surface roughness; taguchi's technique; anova
• Online Access: https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2020/1451-20922002383X.pdf
• ISSN: 1451-2092; 2406-128X

This paper focuses on the experimental investigation of machining parameters such as cutting speed, feed rate and depth of cut influence over surface roughness parameters (Ra, Ry and Rt) during turning AISI 4340 steel. Further, in order to achieve smaller surface roughness parameter values, the machining parameters are optimized using Taguchi's technique Signal-to-Noise ratio (S/N ratio). Analysis of Variance (ANOVA) is performed to determine the most contributing factor that influences the surface roughness parameters. It is observed that the feed rate is the most significant factor contributing by 70.50%, depth of cut by 18.54% and cutting speed by 9.15%. From the optimum condition obtained, a confirmation experiment is performed and the results obtained shows that the surface roughness parameter values are reduced by 31.63% than the designed experimental values.