The Influence of Cutting Parameters on the Surface Hardness in Turning of 6061 Aluminum Alloy
Received: 28 June 2024 | Revised: 22 July 2024 | Accepted: 24 July 2024 | Online: 1 September 2024
Corresponding author: Basma L. Mahdi
Abstract
The primary design property necessary to ensure the longevity and durability of manufactured materials is the material hardness. The primary objective of this study was to investigate the effect of cutting parameters, namely feed rate, cutting speed, and depth of cut, on the surface hardness generated during the turning process of aluminum alloy 6061. The turning experiments were conducted using a Taguchi L27 orthogonal array arranged for three-level cutting parameters. The Analysis of Variance (ANOVA) was employed to determine the relative importance of each parameter on surface hardness. Additionally, an Artificial Nural Network (ANN) predictive model using the back-propagation learning algorithm was created to predict surface hardness levels at each level of the cutting parameters. The results revealed that increasing the values of all the turning parameters resulted in an increase in hardness, and it was concluded that the feed rate was the most critical factor (53.41%) in achieving high surface hardness, followed by the depth of cut (27.89%), whereas cutting speed had a lower impact (18.7%). This study also suggests a simple equation for estimating the surface hardness from the cutting parameters. The ANN model could accurately estimate the surface hardness with a coefficient of correlation (R) higher than 0.98 between the predicted and experimental values. The predicted values of hardness by ANN were more precise (R2 =0.973839) than those predicted by ANOVA (R2=0.893).
Keywords:
AA6061, micro-hardness, correlation coefficient, ANN, ANOVA, cutting speed, depth of cutDownloads
References
M. Siva Surya, "Optimization of turning parameters while turning Ti-6Al-4V titanium alloy for surface roughness and material removal rate using response surface methodology," Materials Today: Proceedings, vol. 62, pp. 3479–3484, Jan. 2022.
G. Karthik Pandiyan and T. Prabaharan, "Optimization of machining parameters on AA6351 alloy steel using Response Surface Methodology (RSM)," Materials Today: Proceeding, vol. 33, pp. 2686–2689, Jan. 2020.
Y.-C. Cheng, W.-Y. Hsu, K. Abou-El-Hossein, O. Olufayo, and T. Otieno, "Investigation of diamond turning: of rapidly solidified aluminum alloys," in Current Developments in Lens Design and Optical Engineering XV, SPIE, Sep. 2014, pp. 232–240.
Y.-C. Cheng, W.-Y. Hsu, C.-H. Kuo, K. Abou-El-Hossein, and T. Otieno, "Investigation of rapidly solidified aluminum by using diamond turning and a magnetorheological finishing process," in Optical Manufacturing and Testing XI, SPIE, Aug. 2015, pp. 222–229.
V. Hiremath, P. Badiger, V. Auradi, S. T. Dundur, and S. A. Kori, "Influence of particle size on Cutting Forces and Surface Roughness in Machining of B4Cp - 6061 Aluminium Matrix Composites," IOP Conference Series: Materials Science and Engineering, vol. 114, no. 1, Feb. 2016, Art. no. 012041.
M. Akgün and H. Demir, "Optimization of Cutting Parameters Affecting Surface Roughness in Turning of Inconel 625 Superalloy by Cryogenically Treated Tungsten Carbide Inserts," SN Applied Sciences, vol. 3, no. 2, Feb. 2021, Art. no. 277.
B. Özlü, "St-37 Malzemesinin Lazer Kesiminde İşleme Parametrelerinin Deneysel ve İstatiksel Olarak İncelenmesi," Fırat Üniversitesi Mühendislik Bilimleri Dergisi, vol. 33, no. 1, pp. 161-171, Feb. 2021.
H. Akkuş and H. Yaka, "Experimental and statistical investigation of the effect of cutting parameters on surface roughness, vibration and energy consumption in machining of titanium 6Al-4V ELI (grade 5) alloy," Measurement, vol. 167, Jan. 2021, Art. no. 108465.
N. V. Cuong and N. L. Khanh, "Parameter Selection to Ensure Multi-Criteria Optimization of the Taguchi Method Combined with the Data Envelopment Analysis-based Ranking Method when Milling SCM440 Steel," Engineering, Technology & Applied Science Research, vol. 11, no. 5, pp. 7551-7557, Oct. 2021.
O. Abdulateef, A. Ali, and S. Abed Al Kareem, "Surface Hardness Prediction Model of Turning Duplex Stainless Steel under Different Cutting Variables," Advances in Science and Technology Research Journal, vol. 17, no. 1, pp. 1–7, Feb. 2023.
R. F. Garcia, E. C. Feix, H. T. Mendel, A. R. Gonzalez, and A. J. Souza, "Optimization of cutting parameters for finish turning of 6082-T6 aluminum alloy under dry and RQL conditions," Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 41, no. 8, Jul. 2019, Art. no. 317.
R. Viswanathan, S. Ramesh, and V. Subburam, "Measurement and optimization of performance characteristics in turning of Mg alloy under dry and MQL conditions," Measurement, vol. 120, pp. 107–113, May 2018.
C. Shekar, N. B. D. Pattar, and Y. V. Kumar, "Optimization of Machining Parameters in Turning of AL6063T6 Through Design of Experiments," International Journal of Mechanical Engineering and Technology, vol. 7, no. 6, pp. 96-104, Nov. 2016.
Z. Hadi, A. A. Ugla, and H. I. Radhi, "Investigations and Optimization of Turning Process Parameters on Hardness of Machined AL6061 Parts," International Journal of Mechanical Engineering, vol. 7, no. 2, pp. 4159-4167, 2022.
M. N. Islam, "Effect of Additional Factors on Dimensional Accuracy and Surface Finish of Turned Parts," Machining Science and Technology, vol. 17, no. 1, pp. 145–162, Jan. 2013.
A. Saravanakumar, S. C. Karthikeyan, B. Dhamotharan, and V. G. Kumar, "Optimization of CNC Turning Parameters on Aluminum Alloy 6063 using TaguchiRobust Design," Materials Today Proceedings, vol. 5, no. 2, Part 2, pp. 8290–8298, Jan. 2018.
C. Kalyan and G. L. Samuel, "Cutting mode analysis in high speed finish turning of AlMgSi alloy using edge chamfered PCD tools," Journal of Materials Processing Technology, vol. 216, pp. 146–159, Feb. 2015.
B. Umroh, Muhathir, and Darianto, "The Optimum Cutting Condition when High Speed Turning of Aluminum Alloy using Uncoated Carbide," IOP Conference Series: Materials Science and Engineering, vol. 505, no. 1, May 2019, Art. no. 012041.
V. C. Nguyen, T. D. Nguyen, and D. H. Tien, "Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6775-6780, Feb. 2021.
M. Mia et al., "Taguchi S/N based optimization of machining parameters for surface roughness, tool wear and material removal rate in hard turning under MQL cutting condition," Measurement, vol. 122, pp. 380–391, Jul. 2018.
B. Zahran, "Using Neural Networks to Predict the Hardness of Aluminum Alloys," Engineering, Technology & Applied Science Research, vol. 5, no. 1, pp. 757-759, Feb. 2015.
S. Miladinović, S. Gajević, S. Savić, I. Miletić, B. Stojanović, and A. Vencl, "Tribological Behaviour of Hypereutectic Al-Si Composites: A Multi-Response Optimisation Approach with ANN and Taguchi Grey Method," Lubricants, vol. 12, no. 2, Feb. 2024, Art. no. 61.
N. Q. Mahmood, Y. F. Tahir, M. Hikmat, M. S. Abdulsatar, and P. Baumli, "Experimental Investigation of the Surface Roughness for Aluminum Alloy AA6061 in Milling Operation by Taguchi Method with the ANOVA Technique," Journal of Engineering, vol. 30, no. 03, pp. 1-14, Mar. 2024.
A. Kannan and N.M.Sivaram, "Evaluation and Performance Improvement of Environmentally Friendly Sustainable Turning of 6063 Aluminum Alloy in Dry Conditions Using Grey Relational Analysis," International Journal of Automotive and Mechanical Engineering, vol. 21, no. 1, pp. 11085-11098, Mar. 2024.
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Copyright (c) 2024 Basma L. Mahdi, Abduljabar H. Ali, Hiba K. Hussein, Osamah F. Abdulateef
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