Characterization and optimization of the properties of untreated high land bamboo fibres
Heliyon, ISSN: 2405-8440, Vol: 8, Issue: 8, Page: e09856
2022
- 8Citations
- 36Captures
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Metrics Details
- Citations8
- Citation Indexes8
- CrossRef5
- Captures36
- Readers36
- 36
Article Description
In this experimental study, untreated Ethiopian high land bamboo fibres were characterized and detected the optimal properties. In the investigation, SEM was applied to examine the surface texture of the fibres. The chemical bonds of the molecules (functional groups) were identified by Fourier transform infrared spectra (FTIR). The thermal properties of the fibre were explored with a thermogravimetric analyser, and the results were confirmed by differential thermo-gravimetric analysis (DTG). Mechanical properties were improved using the experimental design principle. The design is based on the RSM methodology three-factor three-level to present mathematical models. At various plant ages, the culm wall thickness in the radial direction and soaking duration of the single fibre is extracted using a roller crusher machine. The operating parameters and optimal mechanical properties were validated using confirmation tests. Breaking force 796.5cN, tenacity 46.8cNtex-1, work done 456cNmm, and modulus 1814cNtex-1 were the optimal mechanical characteristics achieved at the operating parameters 2.0 years age, a calm thickness layer coded values of 0.6 along the radial direction, and 3.8 days soaking time when compared to mechanical properties 1–3 years plant age, calm thickness layers of from primary (-1) to secondary layers (1) along with the radial direction, and 3–9 days soaking time.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2405844022011446; http://dx.doi.org/10.1016/j.heliyon.2022.e09856; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85135531678&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/35965977; https://linkinghub.elsevier.com/retrieve/pii/S2405844022011446; https://dx.doi.org/10.1016/j.heliyon.2022.e09856
Elsevier BV
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