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Statistical Optimization of Surface Roughness in CNC Turning of AISI 4041 low-alloy steel Using Taguchi Orthogonal Array


Authors : Ahmed Lajilib; Adel Ewhida; Abdulmaan Shabaan

Volume/Issue : Volume 11 - 2026, Issue 6 - June


Google Scholar : https://tinyurl.com/msbh9zpu

Scribd : https://tinyurl.com/3anfptbc

DOI : https://doi.org/10.38124/ijisrt/26jun1333

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This paper investigates the optimization of surface roughness (Ra) in the CNC turning of AISI 4041 low-alloy steel using a Taguchi design and advanced Analysis of Variance (ANOVA). A Taguchi L25 orthogonal array was utilized to evaluate the individual and interactive effects of spindle speed, feed rate, and depth of cut. Experimental data were analyzed via signal-to-noise (S/N) ratios alongside a General Linear Model (GLM) ANOVA utilizing Type III sum of squares to isolate factor contributions.

Keywords : Surface Roughness; Taguchi Method; ANOVA; CNC Turning; Feed Rate; Optimization; AISI 4041 low-alloy Steel.

References :

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  2. R. S. J., D. D. M. and K. D., "Analysis of Surface Topology in Dry Machi ning of EN-8 Steel," Elsvier Journal, Proccedia Material Science, vol. 6, pp. 931-938, 2014.
  3. S. R. P., R. K. and S. B., "Effect of WEDM Conditions on Surface Roughness a Parametric Optimization Using Taguchi Mmethod," International Journal of Advanced Engineering Science and Technologies, vol. 6, no. 1, pp. 41-48, 2011.
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  10. S. Gariania, T. Doa and A. Lajili, "Optimisation of Cutting Tool Geometry and Operating Parameters based on Taguchi Method for Turning AISI D2: Surface Roughness Analysis," 7th International Conference on Industry of the Future and Smart Manufacturing (former International Conference on Industry 4.0 and Smart Manufacturing), pp. 791-800, 2026.
  11. S. S. Chaudhari, S. S. Khedka and N. B. Borkar, "Optimization of Process Parameters Using Taguchi Method Approach with Minimum Quality Lubrication for Turning," International Journal of Engineering Research and Applications, vol. 4, p. 1268, 2011.
  12. N. Baroiu, "Prediction of Surface Roughness in Drilling of Polymers Using a Geometrical Model and Artificial Neural Networks," Material Plastic, pp. 160-173, 2025.
  13. V. D. M. B. Abhishek Dixit, "WATER JET MACHINING: AN ADVANCE MANUFACTURING PROCESS," International Journal of Engineering Research and General Scienc, p. 288, 2015.

This paper investigates the optimization of surface roughness (Ra) in the CNC turning of AISI 4041 low-alloy steel using a Taguchi design and advanced Analysis of Variance (ANOVA). A Taguchi L25 orthogonal array was utilized to evaluate the individual and interactive effects of spindle speed, feed rate, and depth of cut. Experimental data were analyzed via signal-to-noise (S/N) ratios alongside a General Linear Model (GLM) ANOVA utilizing Type III sum of squares to isolate factor contributions.

Keywords : Surface Roughness; Taguchi Method; ANOVA; CNC Turning; Feed Rate; Optimization; AISI 4041 low-alloy Steel.

Paper Submission Last Date
31 - July - 2026

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