Published on: June 2026
ANOVA ANALYSIS AND THE TAGUCHI METHOD FOR PARAMETRIC TURNING PROCESS OPTIMISATION
Sagar Bauri Nigam Mandal Bhaskar Dan Swastik Dutta Rajkishor Mandal Chandi Dutta
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Abstract
To enhance surface finish, improve the material removal rate, minimize tool wear, and reduce manufacturing cost, the parameters in the turning operation have to be optimized. The Taguchi approach is a dependable methodology through which the most effective set of process parameters can be identified while conducting a lesser number of experiments. The significant influence of each parameter affecting the performance characteristics is evaluated statistically by applying analysis of variance (ANOVA). ANOVA coupled with Taguchi design can be considered an efficient technique for parametric optimization in turning operations.
How to Cite this Paper
Bauri, S., Mandal, N., Dan, B., Dutta, S., Mandal, R. & Dutta, C. (2026). Anova Analysis and the Taguchi Method for Parametric Turning Process Optimisation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.138
Bauri, Sagar, et al.. "Anova Analysis and the Taguchi Method for Parametric Turning Process Optimisation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.138.
Bauri, Sagar,Nigam Mandal,Bhaskar Dan,Swastik Dutta,Rajkishor Mandal, and Chandi Dutta. "Anova Analysis and the Taguchi Method for Parametric Turning Process Optimisation." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.138.
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References
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