Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 7/2020

13.04.2020 | Research Article-Mechanical Engineering

Excogitating Material Rankings Using Novel Aggregation Multiplicative Rule (AMR): A Case for Material Selection Problems

verfasst von: Divya Zindani, Saikat Ranjan Maity, Sumit Bhowmik

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 7/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Leaf spring is a suspension device that is used to safeguard the vehicle as well as its occupants from the road shocks. The vibrations arising out due to road irregularities must be absorbed by the leaf spring. The potential energy stored as strain energy must be released slowly by the spring. There is a number of materials of construction for leaf spring and to ensure satisfactory performance these materials must have a suitable combination of properties. The material must possess higher mechanical strength, impact toughness, percentage elongation. Furthermore, lower density and Young’s modulus are other important requirements. The material selection of automobile leaf spring is important and should satisfy the aforementioned requirements. A number of decision-making tools have been employed by the decision-makers to address the material selection problem. The present work proposes a novel aggregation multiplicative rule, taking into account the compromising attitude to rank the material alternatives for automobile leaf spring. Epoxy composite reinforced with E-glass fiber was revealed to be the most suitable material for the automobile leaf spring. The validity of the results obtained using the proposed algorithm has been done using sensitivity analysis as well as through applicability to already solved material selection problems. The performance analysis of the proposed algorithm has been compared with other popular multi-criteria decision making tools: technique for order of preference by similarity to ideal solution, evaluation based on distance from average solution, VlseKriterijumska Optimizacija I Kompromisno Resenje, COmbinative Distance-based ASsessment, Tomada de Decisión Inerativa Multicritero, Preference Ranking Organization METHod for Enrichment and multi-objective optimization on the basis of ratio analysis through Spearman’s rank correlation. The algorithm is found to have robustness, reliability and unique structure and can be used in the automotive industry to assist in the material selection process.
Vorheriger Artikel Experimental and Numerical Investigation of Quasi-Static (10−3 s−1) Fracture Behavior of Armor Steel
Nächster Artikel Grain Size Optimization Using PSO Technique for Maximum Tensile Strength of Friction Stir-Welded Joints of AA1100 Aluminium

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Gowd, G.H.; Goud, E.V.: Static analysis of leaf spring. Int. J. Eng. Sci. Technol. 4(8), 3794–3803 (2012)
2.
Mouleeswaran, S.: Design, manufacturing and testing of polymer composite multi-leaf spring for light passenger automobiles—a review. In: Hutagalung, S. (ed.) Materials Science and Technology, pp. 59–74. IntechOpen, London (2012)
3.
Poulikidou, S.; Schneider, C.; Björklund, A.; Kazemahvazi, S.; Wennhage, P.; Zenkert, D.: A material selection approach to evaluate material substitution for minimizing the life cycle environmental impact of vehicles. Mater. Des. 83, 704–712 (2015)
4.
Cho, J.G.; Koo, J.S.; Jung, H.S.: A lightweight design approach for an EMU carbody using a material selection method and size optimization. J. Mech. Sci. Technol. 30(2), 673–681 (2016)
5.
Mayyas, A.; Shen, Q.; Mayyas, A.; Shan, D.; Qattawi, A.; Omar, M.: Using quality function deployment and analytical hierarchy process for material selection of body-in-white. Mater. Des. 32(5), 2771–2782 (2011)
6.
Mansor, M.R.; Sapuan, S.M.; Zainudin, E.S.; Nuraini, A.A.; Hambali, A.: Hybrid natural and glass fibers reinforced polymer composites material selection using analytical hierarchy process for automotive brake lever design. Mater. Des. 51, 484–492 (2013)
7.
Hasanzadeh, R.; Azdast, T.; Eungkee Lee, R.; Afsari Ghazi, A.: Experimental polymeric nanocomposite material selection for automotive bumper beam using multi-criteria decision making methods. Iran. J. Mater. Sci. Eng. 14(3), 1 (2017)
8.
Moradian, M.; Modanloo, V.; Aghaiee, S.: Comparative analysis of multi criteria decision making techniques for material selection of brake booster valve body. J. Traffic Transp. Eng. 6, 526–534 (2018)
9.
Mayyas, A.T.; Omar, M.; Hayajneh, M.T.: Eco-material selection for auto bodies. In: Martínez, L., Kharissova, O., Kharisov, B. (eds.) Handbook of Ecomaterials, pp. 1–22. Springer, Cham (2017)
10.
Dev, S.; Aherwar, A.; Patnaik, A.: Material selection for automotive piston component using entropy-VIKOR method. Silicon 12, 1–15 (2019)
11.
Zindani, D.; Maity, S.R.; Bhowmik, S.: A decision-making approach for material selection of polymeric composite bumper beam. In: Kumar, K., Davim, J.P. (eds.) Composites and Advanced Materials for Industrial Applications, pp. 112–128. IGI Global, Philadelphia (2018)
12.
Yazdani, M.; Zarate, P.; Kazimieras Zavadskas, E.; Turskis, Z.: A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Manag. Decis. 57(9), 2501–2519 (2018)
13.
Chakraborty, S.; Zavadskas, E.K.; Antucheviciene, J.: Applications of WASPAS method as a multi-criteria decision-making tool. Econ. Comput. Econ. Cybern. Stud. Res. 49(1), 1–17 (2015)
14.
Brauers, W.K.; Zavadskas, E.K.: Technological and economic development of economy. Balt. J. Sustain. 15, 352–375 (2009)
15.
Peng, X.; Selvachandran, G.: Pythagorean fuzzy set: state of the art and future directions. Artif. Intell. Rev. 52(3), 1873–1927 (2019)
16.
Yazdani, M.; Chatterjee, P.: Intelligent decision making tools in manufacturing technology selection. In: Sidhu, S.S., Bains, P.S., Zitoune, R., Yazdani, M. (eds.) Futuristic Composites, pp. 113–126. Springer, Singapore (2018)
17.
Zolfani, S.H.; Chatterjee, P.; Yazdani, M.: A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model. In: International Scientific Conference in Business, Management and Economics Engineering, Vilnius, Lithuania, pp. 797–804 (2019)
18.
Ecer, F.; Pamucar, D.; Zolfani, S.H.; Eshkalag, M.K.: Sustainability assessment of OPEC countries: application of a multiple attribute decision making tool. J. Clean. Prod. 241, 118324 (2019)
19.
Wen, Z.; Liao, H.; Ren, R.; Bai, C.; Zavadskas, E.K.; Antucheviciene, J.; Al-Barakati, A.: Cold chain logistics management of medicine with an integrated multi-criteria decision-making method. Int. J. Environ. Res. Public Health 16(23), 4843 (2019)
20.
Barua, A.; Jeet, S.; Bagal, D.K.; Satapathy, P.; Agrawal, P.K.: Evaluation of mechanical behavior of hybrid natural fiber reinforced nano Sic particles composite using hybrid Taguchi–Cocoso method. Int. J. Innov. Technol. Explor. Eng. 8(10), 3341–3345 (2019)
21.
Peng, X.; Zhang, X.; Luo, Z.: Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation. Artif. Intell. Rev. 11, 1–35 (2019)
22.
Wen, Z.; Liao, H.; KazimierasZavadskas, E.; Al-Barakati, A.: Selection third-party logistics service providers in supply chain finance by a hesitant fuzzy linguistic combined compromise solution method. Economic Research-Ekonomskaistraživanja 32(1), 4033–4058 (2019)
23.
Marappan, K.: Design of parabolic leaf spring for light duty automobile. World J. Eng. 15(1), 91–98 (2018)
24.
Prasad, G.; Raja, K.S.: Design, analysis and experimental investigation of GFRP and SiC composite material leaf spring. ARPN J. Eng. Appl. Sci. 14(4), 902–907 (2006)
25.
Oztoprak, N.; Gunes, M.D.; Tanoglu, M.; Aktas, E.; Egilmez, O.O.; Senocak, C.; Kulac, G.: Developing polymer composite-based leaf spring systems for automotive industry. Sci. Eng. Compos. Mater. 25(6), 1167–1176 (2018)
26.
Slama, S.; Bouhafs, M.; Bessrour, J.; Jaber, M.B.; Mokdadi, H.: Numerical simulation of heat transfer during leaf spring industrial quenching process. Mech. Ind. 19(3), 304 (2018)
27.
Gundimeda, S.K.; Kunc, S.; Gallagher, J.A.; Fragoudakis, R.: Simulation of a composite piezoelectric and glass fiber reinforced polymer beam for adaptive stiffness applications. In: Conference on Smart Materials, Adaptive Structures and Intelligent Systems, V001T03A025–V001T03A025 (2018)
28.
Khan, T.I.; Omi, M.W.; Hossain, M.J.; Haque, M.M.; Rahman, F.: Stress, deformation and failure analysis of parabolic leaf spring by finite element analysis with material optimization. In: IOP Conference Series: Materials Science and Engineering, vol. 438, No. 1, p. 012023 (2018)
29.
Jenarthanan, M.P.; Kumar, S.R.; Venkatesh, G.; Nishanthan, S.: Analysis of leaf spring using carbon/glass epoxy and EN45 using ANSYS: a comparison. Mater. Today Proc. 5(6), 14512–14519 (2018)
30.
31.
Singh, H.; Brar, G.S.: Characterization and investigation of mechanical properties of composite materials used for leaf spring. Mater. Today Proc. 5(2), 5857–5863 (2018)
32.
Gopalakrishnan, T.; Raja, M.; Prakash, V.J.; Gnanavel, C.: Design and fabrication of E-glass/carbon/graphite epoxy hybrid composite leaf spring. In: IOP Conference Series: Materials Science and Engineering, vol. 183, No. 1, p. 012004 (2017)
33.
Shi, W.; Qian, C.; Chen, Z.; Song, Q.; Yang, S.: Establishment of theoretical model of composite leaf springs by using the mechanics of composite materials. J. Reinf. Plast. Compos. 36(18), 1316–1326 (2017)
34.
Kurna, S.; Tank, R.; Pathak, R.: FEM based durability simulation of inverted type leaf spring and rubber bolster of a Bogie type suspension system. SAE Technical Paper, 01-1488 (2017)
35.
Krason, W.; Wysocki, J.: Investigation of friction in dual leaf spring. J. Frict. Wear 38(3), 214–220 (2017)
36.
Ishtiaque, M.T.; Joo, S.H.: Optimized modelling and fabrication of a parabolic leaf spring with finite element analysis. In: International Mechanical Engineering Congress and Exposition, V009T12A052–V009T12A052 (2017)
37.
Nallusamy, S.; Suganthini Rekha, R.; Saravanan, S.: Study on mechanical properties of mono composite steel plate cart spring using Pro Engineer and ANSYS R16. 0. Int. J. Eng. Res. Afr. 37, 13–22 (2018)
38.
Rajesh, N.H.; Sreekumar, M.: Design and simulation of a novel hybrid leaf spring with embedded cylindrical structures. Int. J. Heavy Veh. Syst. 23(2), 131–154 (2016)
39.
Thippesh, L.: Fabrication of hybrid composite mono-leaf spring with unidirectional glass fibers. Mater. Today Proc. 5(1), 2980–2984 (2018)
40.
Katake, K.A.; Mankar, S.H.; Kale, S.A.; Dabeer, P.S.; Deshmukh, S.J.: Numerical and experimental stress analysis of a composite leaf spring. Int. J. Eng. Technol. 8, 2098–2104 (2016)
41.
Rajesh, S.; Bhaskar, G.B.; Venkatachalam, J.; Pazhanivel, K.; Sagadevan, S.: Performance of leaf springs made of composite material subjected to low frequency impact loading. J. Mech. Sci. Technol. 30(9), 4291–4298 (2016)
42.
Arora, V.K.; Bhushan, G.; Aggarwal, M.L.: Precise estimation of individual leaf camber and stepping in symmetrical 65Si7 leaf springs. J. Braz. Soc. Mech. Sci. Eng. 38(6), 1717–1729 (2016)
43.
Jancirani, J.; Assarudeen, H.: A review on structural analysis and experimental investigation of fiber reinforced composite leaf spring. J. Reinf. Plast. Compos. 34(2), 95–100 (2015)
44.
Huang, J.X.; Bai, B.Z.; Yu, G.C.; Yang, Z.G.; Fang, H.S.: Properties of a new type bainitic steel for automobile leaf spring. Heat Treat. Met. 11, 1–4 (2004)
45.
Kumar, S.; Kumar, V.; Nandi, R.K.; Suresh, T.S.; Datta, R.: Investigation into surface defects arising in hot-rolled SUP 11A grade spring billets. J. Fail. Anal. Prev. 8(6), 492–497 (2008)
46.
Bhanage, A.; Padmanabhan, K.: Design for fatigue and simulation of glass fibre/epoxy composite automobile leaf spring. ARPN J. Eng. Appl. Sci. 9(3), 196–203 (2014)
47.
Assarudeen, H.; Anandkumar, G.: Structural analysis of banana/E-glass woven fiber reinforced epoxy based hybrid composite on mono leaf spring using FEA. J. Chem. Pharmaceut. Sci. 7, 253–257 (2015)
48.
Loganathan, T.G.; Krishnamurthy, R.; Chandrasekaran, K.: Significance of energy absorbing layer in GFRP composite on flexural response. J. Test. Eval. 45(4), 1171–1181 (2016)
49.
Loganathan, T.G.; Krishnamurthy, R.; Chandrasekaran, K.: Significance of cyclic loading parameters on the flexural response of the GFRP composites. J. Mech. Sci. Technol. 30(7), 3127–3136 (2016)
50.
Reast, J.: U.S. Patent Application No. 10/516,391 (2006)
51.
Tsai, S.W.; Hahn, H.T.: Off-axis stiffness of unidirectional composites. In: Tsai, S.W., Hahn, H.T. (eds.) Introduction to Composite Materials, pp. 65–109. Technomic Pub., Lancaster (1980)
52.
Memariani, A.; Amini, A.; Alinezhad, A.: Sensitivity analysis of simple additive weighting method (SAW): the results of change in the weight of one attribute on the final ranking of alternatives. J. Optim. Ind. Eng. 29(4), 13–18 (2009)
53.
Hwang, C.L.; Yoon, K.: Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol. 186, pp. 58–191. Springer, Berlin (1981)
54.
KeshavarzGhorabaee, M.; Zavadskas, E.K.; Olfat, L.; Turskis, Z.: Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica 26(3), 435–451 (2015)
55.
Opricovic, S.: Multicriteria optimization of civil engineering systems. Fac. Civ. Eng Belgrade 2(1), 5–21 (1998)MathSciNet
56.
Brauers, W.K.; Zavadskas, E.K.: The MOORA method and its application to privatization in a transition economy. Control Cybern. 35, 445–469 (2006)MathSciNetMATH
57.
Keshavarz Ghorabaee, M.; Zavadskas, E.K.; Turskis, Z.; Antucheviciene, J.: A new COmbinative Distance-Based Assessment (CODAS) method for multi-criteria decision-making. Econ. Comput. Econ. Cybern. Stud. Res. 50(3), 25–44 (2016)
58.
Brans, J.P.; Mareschal, B.: PROMETHEE V: MCDM problems with segmentation constraints. INFOR Inf. Syst. Oper. Res. 30(2), 85–96 (1992)MATH
59.
Gomes, L.F.A.M.; Lima, M.M.P.P.: TODIM: basics and application to multicriteria ranking of projects with environmental impacts. Found. Comput. Decis. Sci. 16(4), 113–127 (1992)MATH
60.
Purohit, P.; Ramachandran, M.: Selection of flywheel material using multicriteria decision making fuzzy TOPSIS. Indian J. Sci. Technol. 8(33), 1–5 (2015)
61.
Maity, S.R.; Chakraborty, S.: A visual decision aid for gear materials selection. J. Inst. Eng. 94(3), 199–212 (2013)
62.
Opricovic, S.; Tzeng, G.H.: Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur. J. Oper. Res. 156(2), 445–455 (2004)MATH
63.
Qin, J.; Liu, X.; Pedrycz, W.: An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur. J. Oper. Res. 258(2), 626–638 (2017)MathSciNetMATH
64.
Banaeian, N.; Mobli, H.; Fahimnia, B.; Nielsen, I.E.; Omid, M.: Green supplier selection using fuzzy group decision making methods: a case study from the agri-food industry. Comput. Oper. Res. 89, 337–347 (2018)MathSciNetMATH
65.
Velasquez, M.; Hester, P.T.: An analysis of multi-criteria decision making methods. Int. J. Oper. Res. 10(2), 56–66 (2013)MathSciNet
66.
Mandic, K.; Bobar, V.; Delibašić, B.: Modeling interactions among criteria in MCDM methods: a review. In: International Conference on Decision Support System Technology, pp. 98–109. Springer, Cham (2015)
67.
Rodriguez, R.M.; Martinez, L.; Herrera, F.: Hesitant fuzzy linguistic term sets for decision making. IEEE Trans. Fuzzy Syst. 20(1), 109–119 (2011)
68.
Wang, P.; Wang, J.; Wei, G.; Wei, C.: Similarity measures of q-rung orthopair fuzzy sets based on cosine function and their applications. Mathematics 7(4), 340 (2019)
69.
Wei, G.; Wei, C.; Wang, J.; Gao, H.; Wei, Y.: Some q-rung orthopair fuzzy maclaurin symmetric mean operators and their applications to potential evaluation of emerging technology commercialization. Int. J. Intell. Syst. 34(1), 50–81 (2019)
70.
Wang, J.; Wei, G.; Lu, M.: An extended VIKOR method for multiple criteria group decision making with triangular fuzzy neutrosophic numbers. Symmetry 10(10), 497 (2018)
71.
Metadaten
Titel
Excogitating Material Rankings Using Novel Aggregation Multiplicative Rule (AMR): A Case for Material Selection Problems
verfasst von
Divya Zindani
Saikat Ranjan Maity
Sumit Bhowmik
Publikationsdatum
13.04.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 7/2020
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-020-04495-6

Weitere Artikel der Ausgabe 7/2020

Arabian Journal for Science and Engineering 7/2020 Zur Ausgabe

Research Article-Mechanical Engineering

Mechanical Properties of Maize Stalk Nano-particle Reinforced Epoxy Composites

Research Article-Mechanical Engineering

Novel Multi-objective Decision-Making and Trade-Off Approach for Selecting Optimal Machining Parameters of Inconel-800 Superalloy

Research Article-Mechanical Engineering

Experımental and Numerıcal Analysis of the Effect of Components on a Double-Sided PCB on LED Junction Temperature and Light Output Using CFD

Research Article-Mechanical Engineering

Real-Time Impedance Control Based on Learned Inverse Dynamics

Research Article-Mechanical Engineering

Investigation of Physico-mechanical Behavior, Permeability and Wall Shear Stress of Porous HA/PMMA Composite Bone Scaffold

Research Article-Mechanical Engineering

Comparative Performance of Low-GWP Refrigerants as Substitutes for R134a in a Vapor Compression Refrigeration System

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise