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Development and characterization of glass fiber composites impregnated with limestone powder and bagasse fiber

  • Velmurugan Govindan ORCID logo EMAIL logo , Karunakaran Periyagounder , Karthik Shanmugam and Prashanth Shanmugam
Published/Copyright: November 27, 2024
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Abstract

Materials development is essential for all industries to meet the current demands Limestone powder (LS), coconut shell fiber (CSF) and sugarcane bagasse fiber (SBF) were impregnated in a laminated glass fiber polymer matrix. The fiber to matrix ratio is 50 %, while SBF and CSF start replacing natural fibers at a rate of 5–15 %, and LS is always 5 %. The proposed fiber-reinforced composites were manufactured by compression molding (CMM) and the test samples were cut according to the ASTM for tensile, impact, moisture, scanning electron microscopy (SEM), X-ray diffraction (XRD) and thermogravimetric (TGA) tests. The results showed that the strength of the materials is influenced by the impregnation of the fibers into the matrix phase. Impregnation of natural fibers in glass fiber composite structures at 10–15 % loading demonstrated a weight saving of 7–8 %, tensile strength ranging from 330 to 350 MPa, maximum moisture absorption of 3.4 g, and thermal stability around 300 °C. Addition of limestone powder resulted in improved bonding ability, better surface finish, and reduced porosity, as demonstrated by SEM analysis.


Corresponding author: Velmurugan Govindan, Department of Aeronautical Engineering, Excel Engineering College, Komarapalayam, India, E-mail:

Acknowledgments

Heartfelt thanks to Excel Engineering College Collaborative Research Laboratory of Aeronautical Engineering Department for providing all necessary facilities.

  1. Research ethics: The local Institutional Review Board deemed the study exempt from review.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: This work was supported by Excel Engineering College (EEC/R&D/Lab facility/02).

  5. Data availability: Not applicable.

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Received: 2023-08-05
Accepted: 2024-08-28
Published Online: 2024-11-27
Published in Print: 2025-03-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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