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Performance Optimization of Lignocellulosic Fiber-Reinforced Brake Friction Composite Materials Using an Integrated CRITIC-CODAS-Based Decision-Making Approach

Author

Listed:
  • Tej Singh

    (Savaria Institute of Technology, Faculty of Informatics, ELTE Eötvös Loránd University, 9700 Szombathely, Hungary)

  • Amit Aherwar

    (Department of Mechanical Engineering, Madhav Institute of Technology and Science, Gwalior 474005, India)

  • Lalit Ranakoti

    (Mechanical Engineering Department, Graphic Era (Deemed to be University) Dehradun, Dehradun 248002, India)

  • Prabhakar Bhandari

    (Department of Mechanical Engineering, School of Engineering & Technology, K.R. Mangalam University, Gurgaon 122103, India)

  • Vedant Singh

    (Faculty of Engineering and Management, Abhilashi University, Mandi 175028, India)

  • László Lendvai

    (Department of Materials Science and Engineering, Széchenyi István University, 9026 Győr, Hungary)

Abstract

A hybrid multicriteria decision-making (MCDM) framework, namely “criteria importance through inter-criteria correlation-combinative distance-based assessment” (CRITIC-CODAS) is introduced to rank automotive brake friction composite materials based on their physical and tribological properties. The ranking analysis was performed on ten brake friction composite material alternatives that contained varying proportions (5% and 10% by weight) of hemp, ramie, pineapple, banana, and Kevlar fibers. The properties of alternatives such as density, porosity, compressibility, friction coefficient, fade-recovery performance, friction fluctuation, cost, and carbon footprint were used as selection criteria. An increase in natural fiber content resulted in a decrease in density, along with an increase in porosity and compressibility. The composite with 5 wt.% Kevlar fiber showed the highest coefficient of friction, while the 5 wt.% ramie fiber-based composites exhibited the lowest levels of fade and friction fluctuations. The wear performance was highest in the composite containing 10 wt.% Kevlar fiber, while the composite with 10 wt.% ramie fiber exhibited the highest recovery. The results indicate that including different fibers in varying amounts can affect the evaluated performance criteria. A hybrid CRITIC-CODAS decision-making technique was used to select the optimal brake friction composite. The findings of this approach revealed that adding 10 wt.% banana fiber to the brake friction composite can give the optimal combination of evaluated properties. A sensitivity analysis was performed on several weight exchange scenarios to see the stability of the ranking results. Using Spearman’s correlation with the ranking outcomes from other MCDM techniques, the suggested decision-making framework was further verified, demonstrating its effectiveness and stability.

Suggested Citation

  • Tej Singh & Amit Aherwar & Lalit Ranakoti & Prabhakar Bhandari & Vedant Singh & László Lendvai, 2023. "Performance Optimization of Lignocellulosic Fiber-Reinforced Brake Friction Composite Materials Using an Integrated CRITIC-CODAS-Based Decision-Making Approach," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8880-:d:1160807
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    References listed on IDEAS

    as
    1. Ren, Jingzheng, 2018. "Sustainability prioritization of energy storage technologies for promoting the development of renewable energy: A novel intuitionistic fuzzy combinative distance-based assessment approach," Renewable Energy, Elsevier, vol. 121(C), pages 666-676.
    2. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
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