MULTI-OBJECTIVE OPTIMIZATION OF TURNING PROCESS USING A COMBINATION OF TAGUCHI AND VIKOR METHODS
Abstract
This study presents the solving process of the multi-objective optimization problem using VIKOR method (Vlse Kriterijumska Optimizacija Kompromisno Resenje, in Serbian) when turning the EN 10503 steel. The cutting velocity, feed rate, depth of cut, and insert nose radius were chosen as the input parameters with three levels of each parameter. Taguchi L9 orthogonal array was used to design the experimental matrix with nine experiments. By the combination of Taguchi and VIKOR methods, the multi-objective optimization problem was successfully solved with optimal values (cutting velocity of 78.62 m/min, feed rate of 0.08 mm/rev, cutting depth of 0.5 mm, and insert nose radius of 0.4 mm. Using these the optimized input parameters, the surface roughness, cutting force and vibration component amplitudes (in X, Y, Z directions), and material removal rate (MRR) were 0.621 µm, 191.084 N, 300.162 N, 51.727 N, 4.465 µm, 7.492 µm, 10.118 µm, and 60.009 mm3/s, respectively. This proposed method could be used to improve the quality and effectiveness of turning processes by improving the surface quality, reducing the cutting force and vibration amplitudes, and increasing the material removal rate.
References
Tran Van Dich, Nguyen Trong Binh, Nguyen The Dat, Nguyen Viet Tiep, Tran Xuan Viet, Manufacturing technology, Science and Technics Publishing House, Ha Noi, 2003.
Pankaj Kumar Sahu, Novel Kamar Sahu, Ankit Dubey, Optimization of cutting parameters by turning operation in lathe machine, International Journal of Mechanical and Production Engineering, Vol. 5, No. 11, (2017), 46-51.
D. Lazarević, M. Madić, P. Janković, A. Lazarević, Cutting Parameters Optimization for Surface Roughness in Turning Operation of Polyethylene (PE) Using Taguchi Method, Tribology in Industry, Vol. 34, No. 2, (2012) 68-73.
Subhabrata Banerjee, Sumon Kundu, Supratim Choudhury, Arpita Chatterjee, Process parameter optimization in lathe turning operation to improve the surface roughness and reduce the cutting force using Taguchi method, International journal of innovations in engineering research and technology, Vol. 8, No. 8, (2017), 1-8.
Sanjay Kajal, Sanjay Yadav, Optimization of CNC Turning Parameters for Surface Roughness on EN 354 Steel using Taguchi Method, Journal of Material Science and Mechanical Engineering, Vol. 2, No. 10, (2015), 54-57.
Sunil Dutta, Suresh Kumar Reddy Narala, Optimizing turning parameters in the machining of AM alloy using Taguchi Methodology, Measurement (2020), doi: https://doi.org/10.1016/j.measurement.2020.108340.
Kompan Chomsamutr, Somkiat Jongprasithporn, The Cutting Parameters Design for Product Quality Improvement in Turning Operations: Optimization and Validation with Taguchi Method, The 40th International Conference on Computers & Indutrial Engineering, (2010), doi: 10.1109/ICCIE.2010.5668340.
W.H. Yang, Y.S. Tarng, Design optimization of cutting parameters for turning operations based on the Taguchi method, Design optimization of cutting parameters for turning operations based on the Taguchi method, Journal of Materials Processing Technology, Vol. 84, (1998), 122–129
Santosh Kumar Patod, Dr. Suman Sharma, Optimization of CNC Turning Cutting Parameter for Geometrical Dimensional Accuracy with Surface roughness on the non-ferrous Material Applying Taguchi Technique, International Journal of Engineering Trends and Technology, Vol. 67, No. 12, (2019), 57-66.
Neeraj Saraswat, Ashok Yadav, Anil Kumar, Bhanu Prakesh Srivastava, Optimization of Cutting Parameters in Turning Operation of Mild Steel, International Review of Applied Engineering Research, Vol. 4, No. 3, (2014), 251-256.
S. P. Shahebrahimi, A. Dadvand, Optimization of Cutting Parameters for Turning Operation of Titanium Alloy Ti-6Al-4V Material Workpiece using the Taguchi Method, Advanced Materials Research, Vol. 685, (2013), 57-62
Dharindom Sonowal, Dhrupad Sarma, Parimal Bakul Barua, Thuleswar Nath, Taguchi Optimization of Cutting Parameters in Turning AISI 1020 MS with M2 HSS Tool, IOP Conf. Series: Materials Science and Engineering, Vol. 225, (2017), 012186 doi:10.1088/1757-899X/225/1/012186.
Abhishek Aswal, Aditya Jha, Anshul Tiwari, Yashwant Kumar Modi, CNC Turning Parameter Optimization for Surface Roughness of Aluminium-2014 Alloy Using Taguchi Methodology, Journal Européen des Systèmes Automatisés, Vol. 52, No. 4, 387-390.
Mustafa ÖZDEMİR, Optimization with Taguchi Method of Influences on Surface Roughness of Cutting Parameters in CNC Turning Processing, MECHANIKA, Vol. 25, No. 5 (2019), 397-405.
Mohd. Arif. I. Upletawala, Prof. Tushar Katratwar, Optimization of Cutting Parameters for Turning Operation on Thermoplastic Polymer-Delrin 500AL, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 8, No. 8, (2016), 15545 – 15553
Meenu Gupta, Surinder Kumar, Multi-objective optimization of cutting parameters in turning using grey relational analysis, International Journal of Industrial Engineering Computations, Vol. 4, (2013), 547–558.
G. Basmaci, Optimization of Machining Parameters for the Turning Process of AISI 316 L Stainless Steel and Taguchi Design, Acta physica polonica A A, Vol. 134 (2018), 260-264
Mehmet Ali Guvenc, Mustafa Cakır, Selcuk Mıstıkoğlu, Experimental Study on Optimization of Cutting Parameters by Using Taguchi Method for Tool Vibration and Surface Roughness in Dry Turning of AA6013, Proceedings of 10th International Symposium on Intelligent Manufacturing and Service Systems, 2019, 1032-1040.
Vladimir Aleksandrovich Rogov, Ghorbani Siamak, Optimization of Surface Roughness and Vibration in Turning of Aluminum Alloy AA2024 Using Taguchi Technique, International Journal of Mechanical, Industrial Science and Engineering, Vol. 7, No. 11, (2013), 869-878.
B. Singaravel, T. Selvaraj, Application of Taguchi Method for Optimization of Parameters in Turning Operation, J. Manuf. Sci. Prod, (2016), doi: 10.1515/jmsp-2016-0004
Le Canh Dinh (2016) The integrated model of GIS and AHPVIKOR for evaluating sustainable land-use management. Science & technology development, Vol. 19, No. 4, 97-104 (in Vietnamese).
Manish Gangil, M. K. Pradhan, Optimization the machining parameters by using VIKOR Method during EDM process of Titanium alloy, Materials Today: Proceedings 5 (2018) 7486–7495
Rajesh Kumar Bhuyan, Bharat Chandra Routara, Optimization the machining parameters by using VIKOR and Entropy Weight method during EDM process of Al–18% SiCp Metal matrix composite, Decision Science Letters 5 (2016) 269–282
Venkata Ajay Kumar. G, D. Vishnu Vardhan Reddy, Nakka Nagaraju, Multi-Objective Optimization of End Milling Process Parameters in Machining of EN 31 Steel: Application of AHP Embedded with VIKOR and WASPAS Methods, i-manager’s Journal on Mechanical Engineering, 8(4), 39-46. https://doi.org/10.26634/jme.8.4.14676
S. Opricovic, G. H Tzeng (2004) Compromise solution by MCDM method: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, Vol. 156, 445-455
