1
Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519 Ash Sharqia Governorate, Egypt
(aabdelmonem@fci.zu.edu.eg)
Abstract :
It is one of the most difficult and time-consuming processes to develop and pick an acceptable material for the piston material that has a variety of attributes. Component failure is often caused by inappropriate material at some stage throughout the functioning process. In light of this, the piston material selection is performed in this article. The goal of this work is to found a technique for selecting the material of the piston for a new design engine by using the multi-criteria decision-making (MCDM) approach to find a solution to the issue of choosing the material for the piston. The purpose of the TOPSIS method is to pick the appropriate material for a piston based on the application it will be used in. The TOPSIS technique is stretched under neutrosophic sets to solve the vague and uncertain information in this process. The single-valued trapezoidal neutrosophic sets (SVTNSs) are used in this paper. The SVTNSs is a mixed with the trapezoidal neutrosophic sets (TNSs) and the single-valued neutrosophic sets (SVNSs). There are nine criteria and three alternatives used in this paper. The illustrative example is carried out The sensitivity analysis and comparative study are carried out to display the robustness and efficiency of the suggested model.
Keywords :
Single-Valued Trapezoidal Neutrosophic Sets; MCDM; Piston Material; TOPSIS method.
References :
[1] S. Chatterjee and S. Chakraborty, “A multi-attributive ideal-real comparative analysis-based approach for piston material selection,” OPSEARCH, vol. 59, no. 1, pp. 207–228, 2022.
[2] S. Dev, A. Aherwar, and A. Patnaik, “Material selection for automotive piston component using entropy-VIKOR method,” Silicon, vol. 12, pp. 155–169, 2020.
[3] A. Roychoudhury, A. Banerjee, P. C. Mishra, and F. Khoshnaw, “An FEA material strength modelling of a coated engine piston,” Mater. Today Proc., vol. 44, pp. 1320–1325, 2021.
[4] P. Lohakare, A. Bewoor, R. Kumar, N. M. Said, and M. Sharifpur, “Benchmark using multi criteria decision making (MCDM) technique to optimally select piston material,” Eng. Anal. Bound. Elem., vol. 142, pp. 52–60, 2022.
[5] I. Emovon and O. S. Oghenenyerovwho, “Application of MCDM method in material selection for optimal design: A review,” Results Mater., vol. 7, p. 100115, 2020.
[6] K. L. Chaitanya and K. Srinivas, “Sensitive analysis on selection of piston material using MADM techniques,” Strojnícky časopis-Journal Mech. Eng., vol. 69, no. 4, pp. 45–56, 2019.
[7] S. M. Sapuan, M. S. D. Jacob, F. Mustapha, and N. Ismail, “A prototype knowledge-based system for material selection of ceramic matrix composites of automotive engine components,” Mater. Des., vol. 23, no. 8, pp. 701–708, 2002.
[8] A. Li, J. Zhao, Z. Gong, and F. Lin, “Optimal selection of cutting tool materials based on multi-criteria decision-making methods in machining Al-Si piston alloy,” Int. J. Adv. Manuf. Technol., vol. 86, pp. 1055–1062, 2016.
[9] P. Zheng, A. Chen, P. Thelin, W. M. Arshad, and C. Sadarangani, “Research on a tubular longitudinal flux PM linear generator used for free-piston energy converter,” IEEE Trans. Magn., vol. 43, no. 1, pp. 447–449, 2006.
[10] M. Zheng, Y. Wang, and H. Teng, “A new" intersection" method for multi-objective optimization in material selection,” Teh. Glas., vol. 15, no. 4, pp. 562–568, 2021.
[11] S. G. Barbieri, V. Mangeruga, and M. Giacopini, “The Effects of the Specific Material Selection on the Structural Behaviour of the Piston-Liner Coupling of a High Performance Engine,” 2021.
[12] U. Singh, J. Lingwal, A. Rathore, S. Sharma, and V. Kaushik, “Comparative analysis of different materials for piston and justification by simulation,” Mater. Today Proc., vol. 25, pp. 925–930, 2020.
[13] M. A. Maleque and A. Arifutzzaman, “Digital logic and knowledge-based system for the automotive piston material selection,” Int. J. Mater. Struct. Integr., vol. 6, no. 2–4, pp. 134–150, 2012.
[14] M. Abobala, “On some algebraic properties of n-refined neutrosophic elements and n-refined neutrosophic linear equations,” Math. Probl. Eng., vol. 2021, pp. 1–7, 2021.
[15] J. E. Ricardo, Z. M. M. Rosado, E. K. C. Pataron, and V. Y. V. Vargas, “Measuring legal and socioeconomic effect of the declared debtors usign the ahp technique in a neutrosophic framework,” Neutrosophic Sets Syst., vol. 44, pp. 357–366, 2021.
[16] F. Smarandache and M. Abobala, n-Refined neutrosophic vector spaces. Infinite Study, 2020.
[17] M. Abobala, “On the representation of neutrosophic matrices by neutrosophic linear transformations,” J. Math., vol. 2021, pp. 1–5, 2021.
[18] M. Abobala, M. Bal, and A. Hatip, “A Study Of Some Neutrosophic Clean Rings,” Int. J. neutrosophic Sci., pp. 14–19, 2022.
[19] W. H. Woodall, A. R. Driscoll, and D. C. Montgomery, “A review and perspective on neutrosophic statistical process monitoring methods,” IEEE Access, 2022.
[20] M. Abobala, M. Bal, and A. Hatip, “A Review On Recent Advantages In Algebraic Theory Of Neutrosophic Matrices,” Int. J. neutrosophic Sci., pp. 68–86, 2021.
[21] S.-W. Lin and H.-W. Lo, “An FMEA model for risk assessment of university sustainability: using a combined ITARA with TOPSIS-AL approach based neutrosophic sets,” Ann. Oper. Res., pp. 1–27, 2023.
[22] M. Abdel-Basset, G. Manogaran, A. Gamal, and F. Smarandache, “A group decision making framework based on neutrosophic TOPSIS approach for smart medical device selection,” J. Med. Syst., vol. 43, pp. 1–13, 2019.
[23] R. M. Zulqarnain, X. L. Xin, M. Saeed, F. Smarandache, and N. Ahmad, Generalized neutrosophic TOPSIS to solve multi-criteria decision-making problems, vol. 38. Infinite Study, 2020.
[24] R. M. Zulqarnain, X. L. Xin, M. Saqlain, F. Smarandache, and M. I. Ahamad, “An integrated model of neutrosophic TOPSIS with application in multi-criteria decision-making problem,” Neutrosophic Sets Syst., vol. 40, pp. 253–269, 2021.
[25] P. Biswas, S. Pramanik, and B. C. Giri, “Neutrosophic TOPSIS with group decision making,” fuzzy multi-criteria Decis. using neutrosophic sets, pp. 543–585, 2019.
[26] P. Biswas, S. Pramanik, and B. C. Giri, “NonLinear programming approach for single-valued neutrosophic TOPSIS method,” New Math. Nat. Comput., vol. 15, no. 02, pp. 307–326, 2019.
[27] H. Sharma, A. Tandon, P. K. Kapur, and A. G. Aggarwal, “Ranking hotels using aspect ratings based sentiment classification and interval-valued neutrosophic TOPSIS,” Int. J. Syst. Assur. Eng. Manag., vol. 10, pp. 973–983, 2019.
[28] R. Roy, S. Pramanik, and T. K. Roy, “Interval rough neutrosophic TOPSIS strategy for multi-attribute decision making,” in Neutrosophic Sets in Decision Analysis and Operations Research, IGI Global, 2020, pp. 98–118.
| Style | # |
|---|---|
| MLA | Ahmed M. Ali. "A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets." Neutrosophic and Information Fusion, Vol. 2, No. 1, 2023 ,PP. 23-43 (Doi : https://doi.org/10.54216/NIF.020102) |
| APA | Ahmed M. Ali. (2023). A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets. Journal of Neutrosophic and Information Fusion, 2 ( 1 ), 23-43 (Doi : https://doi.org/10.54216/NIF.020102) |
| Chicago | Ahmed M. Ali. "A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets." Journal of Neutrosophic and Information Fusion, 2 no. 1 (2023): 23-43 (Doi : https://doi.org/10.54216/NIF.020102) |
| Harvard | Ahmed M. Ali. (2023). A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets. Journal of Neutrosophic and Information Fusion, 2 ( 1 ), 23-43 (Doi : https://doi.org/10.54216/NIF.020102) |
| Vancouver | Ahmed M. Ali. A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets. Journal of Neutrosophic and Information Fusion, (2023); 2 ( 1 ): 23-43 (Doi : https://doi.org/10.54216/NIF.020102) |
| IEEE | Ahmed M. Ali, A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets, Journal of Neutrosophic and Information Fusion, Vol. 2 , No. 1 , (2023) : 23-43 (Doi : https://doi.org/10.54216/NIF.020102) |