Application of hybrid analytical hierarchy process and complex proportional assessment approach for optimal design of brake friction materials

Singh, Tej; Patnaik, Amar; Fekete, Gusztáv; Chauhan, Ranchan; Gangil, Brijesh

doi:10.1002/pc.24907

Cited by 48 publications

(33 citation statements)

References 46 publications

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“…The test conditions and detailed ECE R‐90 procedures were reported 26 . The test results were analyzed into eight criteria, summarized in Table 1 27 …”

Section: Experimental Detailmentioning

confidence: 99%

A hybrid multiple‐criteria decision‐making approach for selecting optimal automotive brake friction composite

Singh

2021

Mat Design & Process Comms

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In this research article, a hybrid multiple‐criteria decision‐making approach was implemented to select the optimal brake friction formulation according to several conflicting performance‐defining criteria. Friction material formulations based on different abrasives (magnesium oxide, iron oxide, zinc oxide, aluminum oxide, titanium dioxide, zirconium dioxide, and silicon dioxide) were designed, fabricated, and tested for various tribological properties. The inclusions of aluminum oxide proved best from performance and fade coefficient of friction, friction stability, friction fluctuations, and friction variability point of view but confirmed worst in terms of wear and disc temperature rise. The lowest wear and lowest rise in disc temperature were exhibited by zinc oxide added composite. The highest recovery coefficient of friction was displayed by silicon dioxide added composite. Since no single composite alternative could merely satisfy all the desired attributes. To find the optimum composite option for automotive braking application, hybrid analytic hierarchy process (AHP)–criteria importance through intercriteria correlation (CRITIC)–technique for order of preference by similarity to ideal solution (TOPSIS) was used to make the final decision. The results show that the formulation with titanium dioxide as abrasive exhibits the optimal properties.

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“…The test conditions and detailed ECE R‐90 procedures were reported 26 . The test results were analyzed into eight criteria, summarized in Table 1 27 …”

Section: Experimental Detailmentioning

confidence: 99%

A hybrid multiple‐criteria decision‐making approach for selecting optimal automotive brake friction composite

Singh

2021

Mat Design & Process Comms

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“…e Analytical Hierarchy Process (AHP) is a multicriterion approach adopted to assign relative weights to each criterion. AHP performs cost-benefit analysis based on absolute priorities [48,49] and weightage ranking. e technique was devised by Wind and Saaty [50].…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

Srivastava

Zhang

Eachempati

et al. 2021

Journal of Advanced Transportation

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The paper aims to build a hybrid personalized multicriteria model in the Indian transportation industry to identify the most feasible transport mode suitable for commuters’ customized preferences. A hybrid multicriterion model, i.e., Fuzzy Analytical Hierarchy Process (AHP), was used to compute the criteria weights, which were subsequently analyzed by three approaches, namely, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy TOPSIS, Evaluation Based on Distance from Average Solution (EDA), and Interpretive Ranking Process (IRP). The case of an Indian metropolitan city, Hyderabad, is taken to illustrate the proposed approach. The paper highlights the following transport modes: metropolitan train (unconventional mode) and conventional modes such as the car, public bus transport, and bikes for Hyderabad. Furthermore, sensitivity analysis is performed to identify the consistency in ranking with variation in weights, and the Ensemble Ranking and transportation experts validate the rankings.

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“…Kukutschová et al (2010) collected and analyzed wear particles of a characteristic semi-metallic brake pad after an industrially standardized automatic brake dynamometer test and compared wear residues with ball-milled samples of the same brake pad material. Researchers reported the use of multi-objective optimization in the field of development of friction materials (Singh et al , 2016; Singh et al , 2019). Satapathy and Bijwe (2004) have applied the MCDM approach in balancing and ranking of the friction materials containing different percentage of natural organic fibers, Nidhi et al (2006) applied the balancing and ranking MCDM approach to study the effect of modified phenolic resin on the performance properties of the friction materials.…”

Section: Introductionmentioning

confidence: 99%

Tribological performance evaluation on brake friction material by using multi-objective optimization methods

Öktem

Shinde

2021

ILT

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Purpose The purpose of this study is to present a novel approach for the evaluation of tribological properties of brake friction materials (BFM). Design/methodology/approach In this study, a BFM was newly formulated with 16 different ingredients and produced using an industrial hot compression molding process. Experimentation was carried out on the brake tester, which was developed for this purpose according to SAE J661 standards. The braking applications, sliding speed and braking pressure were considered as performance parameters, whereas coefficient of friction (CoF) and wear rate as output parameters. The influence of the performance parameters on the output was studied using response surface plots. Analysis of variance and regression analysis was accomplished for post-experimental evaluation of results. Multi-criteria decision-making (MCDM) and multi-objective genetic algorithm (MOGA) were applied for estimating the most critical performance parameter combination to evaluate the BFM. Findings The present experimental model was significant and effectively used to predict the performance. MCDM generates the optimal values for the parameters braking applications, braking pressure (Bar) and sliding speed (rpm) as 1000, 30 and 915, whereas MOGA as 1008, 10.503 and 462.8202, respectively. Originality/value An efficient model for performance evaluation of the BFM considering maximum CoF and minimum wear rate was experimentally presented and statistically verified. Also, the two multi-objective optimization methodologies were implemented and compared. A comparison between the results of MCDM and MOGA reveals that MOGA yields 30% better results than MCDM.

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Application of hybrid analytical hierarchy process and complex proportional assessment approach for optimal design of brake friction materials

Cited by 48 publications

References 46 publications

A hybrid multiple‐criteria decision‐making approach for selecting optimal automotive brake friction composite

A hybrid multiple‐criteria decision‐making approach for selecting optimal automotive brake friction composite

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

Tribological performance evaluation on brake friction material by using multi-objective optimization methods

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