Application of multi-criteria decision making method for selection of lightweight material in manufacturing of railway vehicles

Author

Mechanical Engineering Department, Sirjan University of Technology, Sirjan, Iran

Abstract

Selection of the proper material in manufacturing lightweight railway vehicles is a complex and essential challenge considering the available engineering materials. In this paper, the appropriate material has been selected for manufacturing railway wagons using a multi-criteria decision-making technique. Six engineering materials including DP600 steel, TRIP700 steel, TWIP steel, 6005-T6 aluminium, 60826-T6 aluminium and porous aluminium with closed cells were considered as engineering alternatives. Also, density, yield strength, ultimate tensile strength, the ratio of yield strength to maximum tensile strength, Young's modulus, cost and corrosion resistance were considered as selection criteria. To select the best material according to the mentioned criteria, the MOORA multi-criteria decision-making method was applied. By weighting the criteria and performing the analysis, it was found that the TWIP steel and 6082-T6 aluminium were chosen as the best candidates and aluminium foam and DP600 steel were selected as the worst candidates. Due to its maximum yield strength and ultimate tensile strength compared to other candidates, TWIP steel was chosen as the best material considering all criteria. Furthermore, the 6082-T6 material was chosen as the second-best material due to the high ratio of yield strength to ultimate tensile strength (0.88) and lower density and higher corrosion resistance than steel materials.

Keywords

Main Subjects


[1] Fakhari M, Salehi M (2021) Health Condition Monitoring of railway wheels through vibration analysis using the moving RMS. J. Solid Fluid Mech. 11(4):85-92.
[2] Ezoji R, Talaee MR (2019) Aerodynamic analysis and modeling of effect of nose shape parameters on overturn of high speed train under crosswind. J. Solid Fluid Mech. 9(3):155-176.
[3] Sarafrazi V, Talaee M (2016) Analysis and modeling of aerodynamic pressure wave due to high-speed trains passage. J. Solid Fluid Mech. 6(3):65-78.
[4] Sun Y, Anwar M, Hassan NM, Spiryagin M, Cole C (2021) A review of hydrogen technologies and engineering solutions for railway vehicle design and operations. Rail Eng Sci 29:212-232.
[5] Raza SA, Shah N, Sharif A (2019) Time frequency relationship between energy consumption, economic growth and environmental degradation in the United States: Evidence from transportation sector. Energy 173:706-720.
[6] Zhang D, Tang YY, Peng QY (2023) A novel approach for decreasing driving energy consumption during coasting and cruise for the railway vehicle. Energy 263:125615.
[7] Jagadeesh P, Puttegowda M, Oladijo OP, Lai CW, Gorbatyuk S, Matykiewicz D, Rangappa SM, Siengchin S (2022) A comprehensive review on polymer composites in railway applications. Poly Comp 43(3):1238-1251.
[8] Ulianov C, Önder A, Peng Q (2018) Analysis and selection of materials for the design of lightweight railway vehicles. IOP Confe Series: Mat Sci Eng 292(1): 012072.
[9] Im JM, Shin KB (2019) Technology of Light Weight Railway Vehicle using Composite Materials. Int J Rail 12(2):23-27.
[10] Sivamaran V, Azaruddin S (2021) A Short Review on Applications of Aluminium Composites: Automotive, Aerospace and aircraft, Rail transport, and Marine transport industry. J Prod Ind Eng 2(2):36-42.
[11] Sivamaran V, Azaruddin S (2021) A Short Review on Applications of Aluminium Composites: Automotive, Aerospace and aircraft, Rail transport, and Marine transport industry. J Pro Ind Eng 2(2):36-42.
[12] Shi T, Wang C, Mi G, Yan F (2019) A study of microstructure and mechanical properties of aluminum alloy using laser cleaning. J Manuf Proc :42:60-66.
[13] Parveez B, Jamal NA, Maleque A, Yusof F, Jamadon NH, Adzila S (2021) Review on advances in porous Al composites and the possible way forward. J Mat Res Tech 14:2017-2038.
[14] Sharma V, Zivic F, Adamovic D, Ljusic P, Kotorcevic N, Slavkovic V, Grujovic N (2022) Multi-Criteria Decision Making Methods for Selection of Lightweight Material for Railway Vehicles. Mater 16(1):368.
[15] Lohakare P, Bewoor A, Kumar R, Said NM, Sharifpur M (2022) Benchmark using multi criteria decision making (MCDM) technique to optimally select piston material. Eng Ana Bound Elem 142:52-60.
[16] Emovon I, Oghenenyerovwho OS (2020) Application of MCDM method in material selection for optimal design: A review. Res Mat 7:100115.
[17] Patnaik PK, Swain PT, Mishra SK, Purohit A, Biswas S (2020) Composite material selection for structural applications based on AHP-MOORA approach. Mat Tod: Proc 33:5659-5663.
[18] Dev S, Aherwar A, Patnaik A (2020) Material selection for automotive piston component using entropy-VIKOR method. Silicon 12:155-169.
[19] Zeng YP, Lin CL, Dai HM, Lin YC, Hung JC (2021) Multi-performance optimization in electrical discharge machining of Al2O3 ceramics using Taguchi base AHP weighted TOPSIS method. Proc 9(9):1647.
[20] Wu HW, Li EQ, Sun YY, Dong BT (2021) Research on the operation safety evaluation of urban rail stations based on the improved TOPSIS method and entropy weight method. J Rail Trans Plan Manag 20:100262.
[21] Tuş A, Aytaç Adalı E (2019) The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem. Opsearch 56:528-538.
[22] Sarwar M, Akram M, Liu P (2021) An integrated rough ELECTRE II approach for risk evaluation and effects analysis in automatic manufacturing process. Artif Intell Rev 54(6):4449-4481.
[23] Gul M, Celik E, Gumus AT, Guneri AF (2018) A fuzzy logic based PROMETHEE method for material selection problems. Beni-Suef Univ J Bas App Sci 7(1):68-79.
[24] Sasanka CT, Ravindra K (2015) Implementation of VIKOR method for selection of magnesium alloy to suit automotive applications. International J Adv Sci Tech 83(5):49-58.
[25] Moradian M, Modanloo V, Aghaiee S (2019) Comparative analysis of multi criteria decision making techniques for material selection of brake booster valve body. J Traff Transp Eng (English Edition) 6(5):526-534.
[26] Akhoundi B, Modanloo V (2023) A multi-criteria decision-making analysis on the extrusion-based additive manufacturing of ABS/Cu composites. Int J Inter Des Manuf (IJIDeM) 3:1-9.
[27] Khorshidi M, Erkayman B, Albayrak Ö, Kılıç R, Demir Hİ (2022) Solar power plant location selection using integrated fuzzy DEMATEL and fuzzy MOORA method. Int J Amb Energy 43(1):7400-7409.
[28] Modanloo V, Doniavi A, Hasanzadeh R (2016) Application of multi criteria decision making methods to select sheet hydroforming process parameters. Dec Sci Let 5(3):349-360.
 
[29] Modanloo V, Alimirzaloo V, Elyasi M (2019) Multi-objective optimization of the stamping of titanium bipolar plates for fuel cell. ADMT J 12(4):1-8.
[30] Emovon I, Okpako OS, Edjokpa E (2021) Application of fuzzy MOORA method in the design and fabrication of an automated hammering machine. Wor J Eng 18(1):37-49.
[31] Karande P, Chakraborty S (2012) Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Mater & Des 37:317-324.
[32] Ceballos B, Lamata MT, Pelta DA (2016) A comparative analysis of multi-criteria decision-making methods. Prog Artif Intell 5:315-322.