Effect of Different Configurations of Reinforcement and Post-Cure Temperature Detailed Survey

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 14 | 01 | Page :
    By

    S. Dilip Sankar,

  • M. Sundararaj,

  1. Research Scholar, Department of Aeronautical Engineering, School of Aeronautical &Aerospace Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
  2. Professor, Department of Aeronautical Engineering, School of Aeronautical &Aerospace Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India

Abstract

Composites with natural fillers have applied many applications, such as interior housekeeping, building and so on but their findings are seldom examined in the mechanical, tribological and dynamic situation. The addition of fillers in GFRP composites enhances the mechanical, thermal and tribological properties due to filler occupied in voids in thermoset resin. There has also been a lot of work done in quantifying the consistency of the operating parameters through statistical analysis and achieving optimal operating conditions. Response surface methodology (RSM), artificial neural networks and Taguchi experimental design are several studies of optimization techniques, from the different techniques Taguchi optimization viable method to interpret the process parameter to find the response. Analysis of variance has shown that the studies are 95% confident and 5% significant. No further production and performance are reported of selectively natural fillers with glass fiber epoxy composites. No work found that the roughness taken as process parameters to influence the response of specific wear rate. The objective of this survey is to critically analyze how reinforcement configurations and post-cure temperatures influence composite performance, particularly regarding mechanical, thermal, tribological, and durability properties.

Keywords: GFRP composites, Response surface methodology, Artificial Neural Network

How to cite this article:
S. Dilip Sankar, M. Sundararaj. Effect of Different Configurations of Reinforcement and Post-Cure Temperature Detailed Survey. Journal of Polymer & Composites. 2026; 14(01):-.
How to cite this URL:
S. Dilip Sankar, M. Sundararaj. Effect of Different Configurations of Reinforcement and Post-Cure Temperature Detailed Survey. Journal of Polymer & Composites. 2026; 14(01):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=239168


References

Ahead of Print Subscription Review Article
Volume 14
01
Received 09/09/2025
Accepted 08/10/2025
Published 25/03/2026
Publication Time 197 Days
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