@article {102129,
	title = {Prediction and experimental validation of cutting forces in ball end milling of aluminum 7075-T6 alloy},
	journal = {Advances in Science and Technology Research Journal},
	volume = {19},
	number = {8},
	year = {2025},
	pages = {68-76},
	abstract = {
	This study presents the development and validation of a hybrid cutting force prediction model for ball end milling of aluminum 7075-T6 alloy. The model combines a mechanistic approach with a specific cutting force coefficient (Ks=850 N/mm{\texttwosuperior}) sourced from experimental literature. Cutting forces in the x, y, and z directions are predicted by integrating differential force components with tool geometry and machining parameters. Experimental validation was performed under dry conditions at a spindle speed of 15,000 rpm. In the x-direction, the simulated force was 162.4 N versus an experimental force of 215.4 N; in the y and z-directions, predicted values (65.2 N and 25.3 N) closely matched experimental forces (74.3 N and 28.2 N), respectively. The corresponding mean absolute errors were 18.2\% (x), 4.5\% (y), and 3.3\% (z). The higher error in the x direction highlights limitations in modeling tangential force dynamics, while the y and z predictions align closely with experimental data. Leveraging the experimentally derived Ks, the proposed model offers a practical tool for optimizing machining processes in the aerospace sector, with potential for further refinement in tangential force modeling.

},
	url = {https://doi.org/10.12913/22998624/204778},
	author = {Mekentichi, Sifeddine and Brahim BENMOHAMMED and Schlegel, Daniel and Lee-Remond, Sora and BENYOUCEF, Ahmed}
}
