Selection of automotive brake material using different MCDM techniques and their comparisons

Jahan, Farheen and Soni, Manoj and Wakeel, Saif and Ahmad, Shafi and Bingol, Sedat (2022) Selection of automotive brake material using different MCDM techniques and their comparisons. Journal of Engineering Science and Technology Review, 15 (1). 24 -33. ISSN 1791-9320, DOI

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Brake pad is one of the crucial components of automobile to protect the vehicle against accidents. Natural fiber composites (NFCs) - Flax, Kenaf, Bamboo, Oil-Palm, Sisal, Coir, Hemp, Banana, Palf, and Jute - prepared by different reinforcing agent are used to manufacture brake pads. However, selection of suitable brake pad materials is critical, as there are many NFs, and each NF has some advantages, and limitations. MCDM (Multi-criteria decision-making) technique is widely adopted to select the most suitable alternative materials based on various criteria. In this research, ten alternative NFs have been ranked using seven MCDM methods. Criteria considered in this study are: density, hardness, coefficient of friction, wear rate, compressive strength, degradation temperature, and moisture gain; And weights of criteria are calculated using LGPMBWM (Linear Goal Programming Model for Best Worst-Method). And ranking of natural fibers have been done using CoCoSo (Combined Compromise Solution Method), WPM (Weighted Product Method), WSM (Weighted Sum Method), CoCoSo (Combined Compromise Solution), PIV (Proximity Indexed Value), TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution), and MABAC (Multi-Attributive Border Approximation Area Comparison methods). The final ranking of alternatives has been done by employing membership degree method. Further, the consistency, and reliability of applied MCDM methods is done by applying sensitivity analysis. As a result of this, Flax occupied the first rank, whereas bamboo proved to be the worst natural fiber for manufacturing of brake pads. This study uses different MCDM technique for the selection problem which makes it more reliable and performance of sensitivity analysis makes it consistent. © 2022. School of Science, IHU. All rights reserved.

Item Type: Article
Funders: None
Uncontrolled Keywords: Automotive industry; Brakes; Decision making; Fiber reinforced plastics; Flax; Friction; Hemp; Linear programming; Palm oil; Reliability analysis; Safety factor; BAD methods; Combined compromize solution method; Ideal solutions; Linear goal programming model for best bad-method; Linear goal programming models; Multi-attributive border approximation area comparison; Natural fibre-reinforced composites; Proximity indexed value; Solution methods; The technique for order of preference by similarity to ideal solution; Weighted product method; Weighted products; Weighted sum method; Sensitivity analysis
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering > Department of Mechanical Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 25 Oct 2023 08:02
Last Modified: 25 Oct 2023 08:02

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