التنبؤ بخشونة سطح الفولاذ المقاوم للصدأ (DSS) بعد عملية الخراطة

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Kahraman, and A. Sagbas, “An investigation of the effect of heat treatment on surface roughness in machining by using statistical analysis,” Iranian Journal of Science & Technology, Transaction B: Engineering, vol. 34, no. B5, pp. 591-595, 2010.

H. Gokkaya, and M. Nalbant, “ The effects of cutting tool coating on the surface roughness of AISI 1015 steel depending on cutting parameters,” Turkish Journal of Engineering and Environmental Sciences, vol. 30, no. 5, pp. 307-316, 2006.

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H. Dave, L. Patel, and H. Raval, “Effect of machining conditions on MRR and surface roughness during CNC turning of different materials using TiN coated cutting tools- A Taguchi approach”, International Journal of Industrial Engineering Computations, vol. 3, no. 5, pp. 925-930, 2012.

K. Mani Lavanya, R. K .Suresh, A. Sushil Kumar Priya, and G. Krishnaiah, “Optimization of Process Parameters in Turning Operation of AISI-1016 Alloy Steels with CBN Using Artificial Neural Networks,” International Journal of Engineering Trends and Technology (IJETT), vol. 5, no.6, pp. 294-297, 2013.

G. Kant, and K. S. Sangwan, “Predictive modeling and optimization of machining parameters to minimize surface roughness using artificial neural network coupled with genetic algorithm," Procedia CIRP, vol. 31, pp. 453-458, 2015. https://doi.org/10.1016/j.procir.2015.03.043

J. Vaibhav, and B. Sachin, “Process parameter optimization of CNC turning for titanium wrought iron,” International Journal of Modern Trends in Engineering and Research, vol. 2, no. 11, pp. 141-146, 2015.

B. Das, R. N. Rai, , and S.C. Saha, “ Surface quality optimization of Al-5Cu alloy using utility theory coupled with the Taguchi method,” Advances in Applied Physical and Chemical Sciences-A Sustainable Approach, vol. 2015, pp. 40-45, 2015.

M. Gupta, and S. Kumar, “ Investigation of surface roughness and MRR for turning UD-GFRP using PCA and Taguchi method,” Engineering Science and Technology, An International Journal, vol. 18, no. 1, pp. 70-81, 2015. https://doi.org/10.1016/j.jestch.2014.09.006

P. Sonali, and A. M. Mohanty, “ Performance analysis of surface roughness in al alloy using different cutting parameters,” International Journal of Multidisciplinary Research and Development, vol. 3, no. 4, pp. 1-4, 2016.

S. Dahbi, L. Ezzine, and H.E.L. Moussami, “Modeling of cutting performances in turning process using artificial neural networks,” International Journal of Engineering Business Management, vol. 9, pp. 1-13, 2017. https://doi.org/10.1177%2F1847979017718988

K. Pawan and J. P. Misra, “A Surface Roughness Predictive Model for DSS Longitudinal Turning Operation,” Chapter 25 in DAAAM International Scientific Book, 2018, pp.285-296.

Arjun Joshy, Royson Dsouza, Veerakumar Muthirulan1, and Krishnamurthy H. Sachidananda, “Experimental Analysis on the Turning of Aluminum Alloy 7075 Based on Taguchi Method and Artificial Neural Network,” Journal Européen des Systèmes Automatisés, vol. 52, no. 5, pp. 429-437, 2019. https://doi.org/10.18280/jesa.520501

R. Suresh, L. Shivaramu, N.G. Siddesh Kumar, T.N. Srikantha Dath, “Effect of Process Parameters on Cutting Forces and Surface Roughness in Machining of DSS 2205 Using Taguchi’s Approach,” Applied Mechanics and Materials, vol. 895, pp. 26-31, 2019. https://doi.org/10.4028/www.scientific.net/AMM.895.26

Ahmed A. Elsadek, Ahmed M. Gaafer, and S.S. Mohamed, “Surface Roughness Prediction in Hard-Turning with ANN and RSM,” Journal of The Egyptian Society of Tribology, vol. 17, no. 2, pp. 13-22, 2020.

M. V. R. D. Prasad, Yelamanchili Sravya, and Karri Sai Tejaswi, “Study of the Influence of Process Parameters on Surface Roughness When Inconel 718 Is Dry Turned Using CBN Cutting Tool by Artificial Neural Network Approach,” International Journal of Materials, Mechanics and Manufacturing, vol. 2, no. 4, pp. 335-338, 2014.