Development, characterization, and properties of vanillin-based epoxy resins for natural fiber composites

Bijender Kumar; Samia Adil; Duc Hoa Pham; Dickens O. Agumba; Pooja S. Panicker; Muhammad Latif; Jaehwan Kim

doi:10.1117/12.2613228

18 April 2022 Development, characterization, and properties of vanillin-based epoxy resins for natural fiber composites

Bijender Kumar, Samia Adil, Duc Hoa Pham, Dickens O. Agumba, Pooja S. Panicker, Muhammad Latif, Jaehwan Kim

Proceedings Volume 12045, Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022; 1204508 (2022) https://doi.org/10.1117/12.2613228
Event: SPIE Smart Structures + Nondestructive Evaluation, 2022, Long Beach, California, United States

Abstract

Developing robust bio-based composites against various kinds of petroleum-derived materials has necessitated the continuous exploration and utilization of natural fiber for high-performance applications, especially those derived from bio-sources. In this scenario, cellulose nanofiber (CNF) can be a vital alternative to replace synthetic fiber commonly used as CNF-reinforced composites. In this regard, we prepared lignin-derived vanillin epoxy resin through the epoxidation of vanillin, and it was cured with a 4,4’-diamino diphenyl methane hardener. Furthermore, the solvent-epoxy mixture was impregnated with CNF film to get the CNF-reinforced vanillin epoxy composites. To confirm the compatibility of epoxy with CNF, we performed FTIR spectroscopy. Further, the bending strength of nanocomposites was evaluated. This research could lead to the manufacture of high-performance and environmentally friendly natural fiber composites that can be potentially useable in numerous applications.

Conference Presentation

Citation Download Citation

Bijender Kumar, Samia Adil, Duc Hoa Pham, Dickens O. Agumba, Pooja S. Panicker, Muhammad Latif, and Jaehwan Kim "Development, characterization, and properties of vanillin-based epoxy resins for natural fiber composites", Proc. SPIE 12045, Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022, 1204508 (18 April 2022); https://doi.org/10.1117/12.2613228

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