Mechanical and dynamic mechanical behavior of acetylation-treated plain woven banana reinforced biodegradable composites
Source abstract
Abstract
The present work investigating the effect of acetylation treatment on the plain woven banana fabric (PWBF) in a polyvinyl alcohol (PVA) matrix, which includes the banana fabric strength and fabric pull-out. This type of fabric treatment is normally used to improve the mechanical and thermo-mechanical behavior of composites. The raw PWBFs are treated with different acetylation percentages of concentrations (i.e., 2, 4, 6, 8, and 10) for 4 h at room temperature. The mechanical properties (i.e., tensile, flexural, and impact), thermo-mechanical behavior (i.e., storage modulus and loss modulus), surface morphology after tensile test, and water and biodegradability test of treated and untreated PWBF were investigated. The experimental results showed that the acetylation treatment was able to successfully remove hemicellulose, lignin, moisture content, waste impurities, and other unwanted particles from the PWBF surface and improve the mechanical and thermo-mechanical behavior of PWBF. In order to investigate PWBF/PVA internal bonding, the nature of fabric pull-out analysis was also carried out. It was found that the PWBF/PVA interfacial behavior increased after the acetylation treatment. The experimental results showed that treated composite was taken more time to complete biodegradable in natural soil and untreated composite specimen absorbed more water rate. In reality, the most favorable acetylation concentration was 6% in terms of maximum strength, a strong area of contact and bonding between PWBF/PVA, this is usually due to the reduction of hemicellulose, lignin, moisture content, impurities, and amorphous parts of the fabric.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Natural Fiber Reinforced Composites · Advanced Cellulose Research Studies · Electrospun Nanofibers in Biomedical Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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