The proper handling of agricultural waste has become a major concern on a global scale. Although agro-wastes are often burned, it can actually be strengthened and used in composite materials to create bioplastics. Rice husk is a type of crop residue that represents a significant source of agricultural waste. It is a highly abundant agricultural waste material that serves as an excellent alternative for reinforcement of composites purposes. Therefore, this work deals with the characterization of the tribological performance of NaOH-treated rice husk-based epoxy composites. The composites were fabricated at different weight fractions (2.5, 5, 7.5, 10, and 12.5%) of rice husk bio-filler and pin-on-disc tribology tests has been done at variable loads (10, 15, and 20 N). Artificial Neural Network (ANN) has been conducted to predict the experimental results wisely. The results analyzed that, the wear-resistant performance of treated rice husk filler composites varies with weight percentage and 2.5 wt% rice husk filler showed the least amount of wear with a lower frictional coefficient. Through the use of a scanning electron microscope (SEM), the worn morphology, fractures, debonding, and surface deformation of prepared composites have been analyzed.

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The Effects of Treated Rice Husk Bio-filler at Different Weight Fraction on Tribological Characteristics of Sustainable Composites and Its ANN Evaluation

  • Soumya Purkayastha,
  • Sumit Bhowmik,
  • Santosh Kumar,
  • Vijay Kumar Mahakur,
  • Nabojyoti Chauhan

摘要

The proper handling of agricultural waste has become a major concern on a global scale. Although agro-wastes are often burned, it can actually be strengthened and used in composite materials to create bioplastics. Rice husk is a type of crop residue that represents a significant source of agricultural waste. It is a highly abundant agricultural waste material that serves as an excellent alternative for reinforcement of composites purposes. Therefore, this work deals with the characterization of the tribological performance of NaOH-treated rice husk-based epoxy composites. The composites were fabricated at different weight fractions (2.5, 5, 7.5, 10, and 12.5%) of rice husk bio-filler and pin-on-disc tribology tests has been done at variable loads (10, 15, and 20 N). Artificial Neural Network (ANN) has been conducted to predict the experimental results wisely. The results analyzed that, the wear-resistant performance of treated rice husk filler composites varies with weight percentage and 2.5 wt% rice husk filler showed the least amount of wear with a lower frictional coefficient. Through the use of a scanning electron microscope (SEM), the worn morphology, fractures, debonding, and surface deformation of prepared composites have been analyzed.