Machining Performance Improvement in Turning of EN24 Steel using Design of Experiments

This study investigates optimization of machining bounds of SPINNER 25 CNC lathe machine, to accomplish greater rate of material elimination and to decrease surface texture value on EN24 steel. For the study, rotational speed, tool feed and cut depth are the machining factors taken into account. To evaluate the impact of parameters influencing surface texture and rate of material elimination, ANOVA analysis is being used. Surface texture and rate of material elimination are the output parameters. L9 orthogonal table based on Taguchi’s technique is adapted to carry out machining experiments. The best values of machining bounds are found for machining and surface texture of 0.567 μm and rate of material elimination 2511 mm³/min. Major Findings: The major finding from this work is that, tool feed has significant impact on material elimination rate and rotational speed has the least impact. The cut depth has the slightest bearing on surface texture and tool feed provide required texture.

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Publication Details

Journal
Journal of Mines Metals and Fuels
Published
2025-09-04
DOI
https://doi.org/10.18311/jmmf/2025/49746
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Machining Performance Improvement in Turning of EN24 Steel using Design of Experiments

S Rohith, G. S. Girishkumar, Nitish Kumar, B. A. Praveena et al.
Journal of Mines Metals and Fuels
Advanced machining processes and optimization
article

Machining Performance Improvement in Turning of EN24 Steel using Design of Experiments

S Rohith, G. S. Girishkumar, Nitish Kumar, B. A. Praveena, M. R. Kamesh, H.K. Govindaraju, D. Yogaraj, V. R. Srinivasan, P. Raja, A. Balthilak
article en

Abstract

This study investigates optimization of machining bounds of SPINNER 25 CNC lathe machine, to accomplish greater rate of material elimination and to decrease surface texture value on EN24 steel. For the study, rotational speed, tool feed and cut depth are the machining factors taken into account. To evaluate the impact of parameters influencing surface texture and rate of material elimination, ANOVA analysis is being used. Surface texture and rate of material elimination are the output parameters. L9 orthogonal table based on Taguchi’s technique is adapted to carry out machining experiments. The best values of machining bounds are found for machining and surface texture of 0.567 μm and rate of material elimination 2511 mm³/min. Major Findings: The major finding from this work is that, tool feed has significant impact on material elimination rate and rotational speed has the least impact. The cut depth has the slightest bearing on surface texture and tool feed provide required texture.

Journal of Mines Metals and Fuels
JSS Academy of Higher Education and Research (IN), Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Nitte University (IN), Manipal Academy of Higher Education (IN), Tamil Nadu Dr. J Jayalalitha Fisheries University (IN), Orthopaedic Research Group (IN), KPR Institute of Engineering and Technology (IN), Dr. Hari Singh Gour University (IN)
Openalex Percentile: Top 75%
Advanced machining processes and optimization
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