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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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  Published Paper Details:

  Paper Title

Application of Weibull, ANN and WSN methods for assessment of performance of sustainable fibres in green composites

  Authors

  Dr.N.Gokarneshan,  Dr.K.C.Karunakaran,  Dr.M.S.S.Sasikumar,  Dr.J.Jaganpradeep,  Dr.V.Priya,Dr.T.Sureshkumar, Dr.C.Anand6, Dr.N.Vasuki and A.G.Devipriya8

  Keywords

Agave americana, Artificial neural network, tensile behavior, statistical methods,Weibull, statistic, hazard function, Wireless sensor network.

  Abstract


The research conducted focused on examining the unique properties of Agave Americana Flower Stem fiber (AAFS), particularly its behavior under quasi-static tensile conditions. A total of 200 AAFS fibers were subjected to tensile tests using a standard gauge length of 40 mm. Tests spanned seven groups with quantities (N) ranging from 30 to 200. The study aimed to understand the fibers' mechanical traits, as tensile resistance and modulus of elasticity, and to see how different test quantities influence these properties. A significant observation was the dispersion of the tensile characteristics of AAFS fibers, a common trait of natural fibers. To understand this, we applied rigorous statistical tools, including the Weibull distribution at a 95% confidence interval and one-way ANOVA. A mathematical model was produced utilizing data from experiments regarding the tensile behavior of AAFS fibers. The ANN provided correlation coefficients (R2) of 0.9897, 0.9971, 0.9993, and 0.9939 for training, validation, testing, and all datasets respectively, which were able to accurately predict the experimental data. The proposed model would be of tremendous assistance to engineers and designers in obtaining green composite materials that are based on natural fibers and thereby more durable. These methods illuminated the patterns in our results, enriching our understanding of AAFS fiber mechanics.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT25A4824

  Paper ID - 284306

  Page Number(s) - p570-p580

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.N.Gokarneshan,  Dr.K.C.Karunakaran,  Dr.M.S.S.Sasikumar,  Dr.J.Jaganpradeep,  Dr.V.Priya,Dr.T.Sureshkumar, Dr.C.Anand6, Dr.N.Vasuki and A.G.Devipriya8,   "Application of Weibull, ANN and WSN methods for assessment of performance of sustainable fibres in green composites", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.p570-p580, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A4824.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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