Abstract
Turning is one of the initial basic machining operation that prevails in assembly and production process. Modern techniques have been practices in rapid and eco-friendly production systems. Present study deals with the investigation of turning process on EN 18 steel which is been shown its existence in automobiles industries. Turning operation was performed using a coated tool insert with varying cutting speed (100, 125 and 150 mm/min), feed rate (0.05, 0.5, 0.15 mm/rev) and depth of cut (0.4, 0.8, 1.2 mm) at both dry and MQL conditions. The results obtained was compared to optimize the effect of minimum quality lubrication on surface roughness. Experimentally it was observed that speed of 100 m/min with combination of feed of 0.05 mm/rev and 0.4 mm depth of cut was found to be optimized for surface roughness in both the cases. The mathematical model generated for surface roughness and MRR for both dry and MQL turning models having better regression fit as it closer to 100. From ANOVA analysis feed was proved to be the highest contributing factor for surface roughness and for MRR speed is the most significant factor for both dry and MQL turning
Highlights
Metal cutting is operation is the primary action that is to be performed in the modelling of components of raw material casted bulk material
As material removal is one such factor which is calculated as a function of time, material removal rate (MRR) signified to the working ability of machine, tool and production rate[13]
The average values of each parameter for each level has been calculated and reported in Table 6 and Table 7 in both the cases ie., dry and Minimum quantity lubrication (MQL) turning for Surface roughness and MRR
Summary
Metal cutting is operation is the primary action that is to be performed in the modelling of components of raw material casted bulk material. Surface roughness is termed as one of the important terms with deals with the efficiency of machining operation and effectiveness of tool. Nilrudra Mandal et al [6] performed Second order regression analysis, Taguchi and ANOVA techniques optimization of surface roughness while machining of AISI 4340 steel. The reason of implementation of minimum quality lubrication in daily basis of machining is due to the improper knowledge on cutting fluids disposable practices. This directly leading to effect on global and living organisms disorders. Acharya et al [14] conducted turning on EN 31 at both MQL condition and wet condition and performed ANOVA on parameters like MRR and surface roughness.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
