A Comparison of RSM-DA and PSO-TOPSIS in optimizing the Finishing Turning of 9XC Steel under MQL Conditions
Received: 20 February 2024 | Revised: 22 March 2024 | Accepted: 24 March 2024 | Online: 1 June 2024
Corresponding author: Thuy Duong Nguyen
Abstract
This study compares the effectiveness of RSM-DA and PSO-TOPSIS in optimizing the finishing turning of 9XC steel under Minimum Quantity Lubrication. Experiments using the Box-Behnken Design were conducted. Depth of Cut (ap), Feed Per Tooth (fz), and Cutting Speed (Vc) served as the input parameters while the Material Removal Rate (MRR) and Surface Roughness (Ra) as the output responses. Fifteen experiments based on the Box-Behnken orthogonal array design were carried out. The RSM-DA method yielded optimized values of 3.35999 cm3/min for MRR and 0.25367 μm for Ra when Vc, ap, and fz were set at 180 m/min, 0.2999 mm, and 0.06 mm/rev respectively. The Pareto solutions were obtained by PSO and TOPSIS identified the optimum set. The optimized MRR and Ra roughness values were found to be 4.320 cm3/min and 0.474 μm, respectively when Vc = 180 m/min, ap = 0.3 mm, and fz = 0.10 mm/rev. The research results showed the suitability, strengths, and weaknesses of PSO-TOPSIS and RSM-DA for multi-objective optimization of the turning process of 9XC alloy under Minimum Quantity Lubrication conditions.
Keywords:
MOPSO, TOPSIS, RSM-DA, optimizationDownloads
References
"DIN 69090-1:2011-12, MMS-Bearbeitungstechnologie_- Teil_1: Begriffe und Definitionen." Beuth Verlag GmbH.
B. Sen, M. Mia, G. M. Krolczyk, U. K. Mandal, and S. P. Mondal, "Eco-Friendly Cutting Fluids in Minimum Quantity Lubrication Assisted Machining: A Review on the Perception of Sustainable Manufacturing, " International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 8, no. 1, pp. 249–280, Jan. 2021.
P. Sandhu, G. S. Goindi, and S. Chopra, "Evaluation of dry machining, air-cooling conditions and MQL techniques as sustainable manufacturing processes for turning of aluminium 6061," Materials Today: Proceedings, vol. 68, pp. 791–798, Jan. 2022.
A. Tecle and L. Duckstein, "Concepts of multicriterion decision making"in J.J. Bogardi & H.P. Nachtnebel, (Eds.) (1993). Multicriteria decision making in water resources management. IHP of UNESCO, Paris, pp 33–62, 1994
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.
G.-H. Tzeng and J.-J. Huang, "TOPSIS and VIKOR," in Multiple Attribute Decision Making, Chapman and Hall/CRC, 2011.
J. Becker, A. Becker, and W. Sałabun, "Construction and Use of the ANP Decision Model Taking into Account the Experts’ Competence," Procedia Computer Science, vol. 112, pp. 2269–2279, Jan. 2017.
R. Krishankumar, H. Garg, K. Arun, A. Saha, K. S. Ravichandran, and S. Kar, "An integrated decision-making COPRAS approach to probabilistic hesitant fuzzy set information," Complex & Intelligent Systems, vol. 7, no. 5, pp. 2281–2298, Oct. 2021.
M. H. El-Axir, M. M. Elkhabeery, and M. M. Okasha, "Modeling and Parameter Optimization for Surface Roughness and Residual Stress in Dry Turning Process," Engineering, Technology & Applied Science Research, vol. 7, no. 5, pp. 2047–2055, Oct. 2017.
T. P. Gundarneeya, V. D. Golakiya, S. D. Ambaliya, and S. H. Patel, "Experimental investigation of process parameters on surface roughness and dimensional accuracy in hard turning of EN24 steel," Materials Today: Proceedings, vol. 57, pp. 674–680, Jan. 2022.
P. B. Patole and V. V. Kulkarni, "Optimization of Process Parameters based on Surface Roughness and Cutting Force in MQL Turning of AISI 4340 using Nano Fluid," Materials Today: Proceedings, vol. 5, no. 1, Part 1, pp. 104–112, Jan. 2018.
V. Canh Nguyen, T. Duong Nguyen, and V. Thao Le, "Optimization of sustainable milling of SKD11 steel under minimum quantity lubrication," Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, vol. 237, no. 3, pp. 907–916, Jun. 2023.
S. L. C. Ferreira et al., "Box-Behnken design: An alternative for the optimization of analytical methods," Analytica Chimica Acta, vol. 597, no. 2, pp. 179–186, Aug. 2007.
N. Qian, Y. Fu, F. Jiang, W. Ding, J. Zhang, and J. Xu, "CBN grain wear during eco-benign grinding of nickel-based superalloy with oscillating heat pipe abrasive wheel," Ceramics International, vol. 48, no. 7, pp. 9692–9701, Apr. 2022.
S. Seabold and J. Perktold, "Statsmodels: Econometric and Statistical Modeling with Python," Proceedings of the 9th Python in Science Conference, vol. 2010, Jan. 2010.
Downloads
How to Cite
License
Copyright (c) 2024 Thuy Duong Nguyen, Khanh Huyen Nguyen, Long Nguyen Ha
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.