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

Zindani, Divya; Maity, Saikat Ranjan; Bhowmik, Sumit

doi:10.1007/s13369-020-04495-6

Cited by 9 publications

(5 citation statements)

References 41 publications

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“…The results are comparable, and the techniques suit design and product optimization. Zindani et al [ 82 ] selected the optimal material for leaf spring in automotive applications considering different physicomechanical properties using multiplicative aggregation rule combining VIKOR, TODIM, PROMETHEE, and MOORA methods. The hybrid method was found to be rational and provides accurate results.…”

Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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“…By processing the aggregate value, the ranking of alternative materials was determined and the optimal material was selected. Zindani et al (2020) proposed 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.…”

Section: Introductionmentioning

confidence: 99%

Material selection for sintered pulley in automobile: An integrated CRITIC-MARCOS model

Ranjan,

Rajak,

Chatterjee

2023

Rep. Mech. Eng.

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Material selection plays a pivotal role in engineering and design, profoundly influencing product performance, cost, and sustainability. Traditional approaches to material selection typically involve an intricate interplay of multiple criteria, encompassing mechanical properties, environmental impact, cost, and availability. To grapple with this complexity, multi-criteria decision-making (MCDM) methods have risen to prominence as systematic frameworks for facilitating well-informed material selection decisions. MCDM methods offer a structured approach to evaluating and ranking materials based on a set of criteria, thereby empowering engineers and designers to make informed choices. In this paper, Measurement of Alternatives and Ranking According to Compromise Solution (MARCOS) method has been employed to determine the most suitable material for sintered pulleys used in automobiles. CRiteria Importance Through Intercriteria Correlation (CRITIC) method is applied to assign criteria weights. The analysis reveals that sintered hardened steel emerges as the best choice for sintered pulleys in automotive applications. To validate the outcomes obtained from the proposed method, a performance analysis has been conducted, comparing the results with those generated by other well-established MCDM methods. Additionally, a sensitivity analysis has been carried out using Spearman rank correlation coefficient.

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“…Compared to traditional metal leaf springs, composite leaf springs not only reduce the total mass and improve the fuel economy, but also increase the driving safety and riding comfort [12]. Therefore, many researchers have focused on composite leaf springs in recent years [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

Stiffness Prediction and Analysis of Composite Leaf Springs

et al. 2021

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Composite leaf springs represent a key application of composite materials in the field of automotive lightweight materials. Stiffness, as a critical parameter of composite leaf springs, is closely related to the handling stability and ride comfort of automobiles. Therefore, this paper proposes an explicit theoretical model, which can consider the anisotropy of composite materials and detailed structure of the leaf spring, to predict the stiffness based on the law of energy conservation. The obtained results are verified against the results of the finite element method and bench test of basalt/epoxy samples. Moreover, the influence of the relevant design parameters on the stiffness is analyzed to provide guidance for the stiffness matching of composite leaf springs. The thickness of the composite leaf spring considerably influences its stiffness. As a key parameter representing the bearing capacity, the strength is closely related to the reliability of leaf springs. Based on the Tasi-Wu strength failure criterion, the influence of the relevant design parameters on the strength ratio of a composite leaf spring is analyzed under the constraint of stiffness. An increase in the width of the composite leaf spring enhances its bearing capacity when the stiffness is required to be within a certain range.INDEX TERMS Automotive lightweight, composite leaf spring, stiffness prediction, finite element method, theoretical model.

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

Cited by 9 publications

References 41 publications

A historical review and analysis on MOORA and its fuzzy extensions for different applications

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Material selection for sintered pulley in automobile: An integrated CRITIC-MARCOS model

Stiffness Prediction and Analysis of Composite Leaf Springs

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