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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Analysis and Optimization of Textile-Reinforced Composites for Automotive Applications: Design, FEA & Validation

Authors: G. C. Mekalke, and Raghavendra Subramanya;

Analysis and Optimization of Textile-Reinforced Composites for Automotive Applications: Design, FEA & Validation

Abstract

This study focuses on the design, analysis, and optimization of textile-reinforced composite materialsfor automotive applications, specifically targeting bumper brackets. The novelty of this work lies in theintegration of carbon fiber, glass fiber, and hybrid composites using the hand lay-up method, coupledwith advanced finite element analysis (FEA) to validate their structural performance. The methodologyinvolved redesigning the bumper bracket using CATIA V5, fabricating composite samples, andconducting tensile tests to evaluate mechanical properties. FEA in ANSYS Workbench was employed toanalyze stress distribution and deformation under operational loads. Results demonstrated that carbonfiber-reinforced polymer (CFRP) achieved a tensile strength of 1330 N/mm², with an 84% weightreduction compared to traditional steel brackets. The study concludes that textile-reinforcedcomposites, particularly CFRP, offer significant weight optimization and high mechanicalperformance, making them ideal for lightweight automotive applications. Hybrid composites alsopresent a cost-effective alternative for secondary structural components.

Keywords

Carbon Fiber, Composite Materials, Glass Fiber, Stress Analysis, Technical Textiles

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green