International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Coccinia Grandis Natural Composite Fibers in Industrial Engineering With using Artificial Intelligence: Report Testing Analysis

Senthamizhan B.

Abstract: The study on Coccinia Grandis as a natural fiber source breathes fresh life into the sustainable materials discourse. Rather than relying solely on synthetic reinforcements, this research opens up the possibility of harnessing an underutilized plant species to fabricate eco - friendly composites. The meticulous fiber extraction methods ranging from retting to chemical treatment are matched by a robust framework of mechanical testing, ensuring that performance isn't sacrificed in the pursuit of sustainability. What truly stands out, however, is the seamless integration of Industrial Engineering tools and Artificial Intelligence. This isn?t just a case of crunching numbers it's about drawing meaningful connections between fiber properties, processing parameters, and real - world applications. It is evident that AI's role extends beyond prediction, offering a nuanced lens for pattern recognition and design optimization that traditional methods often miss. That said, challenges in fabrication consistency and environmental exposure remain areas ripe for further exploration. This suggests that while Coccinia Grandis fiber composites may not yet replace conventional materials, they are certainly carving a promising path toward scalable and green industrial solutions.

Keywords: natural fiber composites, Coccinia Grandis, sustainable materials, AI modeling, industrial optimization

How to Cite?: Senthamizhan B., "Coccinia Grandis Natural Composite Fibers in Industrial Engineering With using Artificial Intelligence: Report Testing Analysis", Volume 14 Issue 5, May 2025, International Journal of Science and Research (IJSR), Pages: 580-582, https://www.ijsr.net/getabstract.php?paperid=SR25507221719, DOI: https://dx.doi.org/10.21275/SR25507221719

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