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<p>The sustainable industrial development requires new sustainable materials. This study is focused on development of natural fiber reinforced composite utilizing banana fibers as reinforcement constituent and epoxy material as matrix material. In this study the fabricated composites are optimized using Grey Relational Analysis (GRA) and Analysis of Variance (ANOVA) to assess their mechanical performance. During the optimization total of 40 trials were carried out using a full factorial experimental approach with the varied fiber length (between 5 and 25&#xa0;mm) and fiber content (5–40 wt%). The ASTM Standard testing procedures were used for finding the data for experimental tensile, flexural, and impact strengths. A higher-the-better criterion for multi-response optimization was used for normalization. The multi-objective problem was transformed into a single performance index using Grey Relational Analysis (GRA), and the importance and contribution from each factor were ascertained using Analysis of Variance (ANOVA). The results showed that composite mechanical behavior is influenced by both length of fiber and fiber content, with fiber content being identified as the main determining factor. A peak GRG value of 1.0, indicating higher tensile, flexural, and impact strengths, was found to result from the optimal combination of 20&#xa0;mm fiber length and 30 weight% fiber content. Results from ANOVA further validated that major influence of fiber content (85.46% contribution) compared to fiber length (10.54%). This work demonstrates the capability of hybrid statistical optimization techniques for multi-response material systems and contributes important insights for designing high-performance sustainable composites.</p>

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Optimization of mechanical properties of banana fiber reinforced polymer composites: a multi-response study using Grey Relational Analysis and ANOVA

  • 期刊论文

  • 发表日期：

    2026年8月3日

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  • Vishal Wankhade,
  • Rajeev Sharma,
  • Shashi Chandra Sharma

摘要

The sustainable industrial development requires new sustainable materials. This study is focused on development of natural fiber reinforced composite utilizing banana fibers as reinforcement constituent and epoxy material as matrix material. In this study the fabricated composites are optimized using Grey Relational Analysis (GRA) and Analysis of Variance (ANOVA) to assess their mechanical performance. During the optimization total of 40 trials were carried out using a full factorial experimental approach with the varied fiber length (between 5 and 25 mm) and fiber content (5–40 wt%). The ASTM Standard testing procedures were used for finding the data for experimental tensile, flexural, and impact strengths. A higher-the-better criterion for multi-response optimization was used for normalization. The multi-objective problem was transformed into a single performance index using Grey Relational Analysis (GRA), and the importance and contribution from each factor were ascertained using Analysis of Variance (ANOVA). The results showed that composite mechanical behavior is influenced by both length of fiber and fiber content, with fiber content being identified as the main determining factor. A peak GRG value of 1.0, indicating higher tensile, flexural, and impact strengths, was found to result from the optimal combination of 20 mm fiber length and 30 weight% fiber content. Results from ANOVA further validated that major influence of fiber content (85.46% contribution) compared to fiber length (10.54%). This work demonstrates the capability of hybrid statistical optimization techniques for multi-response material systems and contributes important insights for designing high-performance sustainable composites.