Year-end Sale % OFF 
Abstract
This study presents the solving process of the multi-objective optimization problem using VIKOR method 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 0.6 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, 51.727 N, 300.162 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.
Highlights
Turning is the most common machining process in the cutting methods
To ensure the minimum value of surface roughness, Taguchi method was applied to obtain the optimal values of cutting velocity, feed rate, and depth of cut in the turning process of different materials such as aluminum [2], polyethylene [3], EN8 steel [4], EN 354 steel [5], AM alloy [6], unidirectional glass fiber reinforced plastics (UD-GFRP) [7], titanium alloy [8], Brass and Copper [9], medium carbon steel [10], Titanium Alloy Ti-6Al-4V [11], AISI 1020 steel [12], Aluminium-2014 Alloy [13], AISI 409 steel [14]
Taguchi was applied in the determination of the cutting parameters to ensure the minimum of cutting forces when machining some materials such as AM alloy [6], AISI 316L stainless steel [17], etc
Summary
Turning is the most common machining process in the cutting methods. The work volume that is performed in turning processes is about 40% of the total workload of the machining processes. The previous studies were conducted to reduce the machining surface roughness, cutting forces, and vibrations and to increase the MRR. Several studies applied the Taguchi method to optimize the turning process of different materials such as Aluminum Alloy AA6013 [18], Aluminum Alloy AA2024 [19], and EN25 steel [20].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
