Response surface method-based optimisation of advanced mechanochemical approach for bead minimisation in bamboo fiber extraction, and improving hydrophobicity via diisopropanolamine treatment

Kumar, Deepak; Mandal, Apurba

doi:10.1007/s13399-023-04420-5

Cited by 3 publications

(1 citation statement)

References 80 publications

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“…Enhancement of the bonding between fibres and the matrix may be achieved by the implementation of chemical modifications, such as alkali treatment, salinisation, peroxide treatment, and permanganate treatment. 7,8 Nevertheless, it was observed that natural fibres had a more favourable response to the elimination of non-cellulosic impurities and the enhancement of the hydrophobic properties of the fibres. In a study conducted by El-Abbassi et al, 9 it was discovered that the deterioration exhibited throughout the process of water ageing was significantly alleviated.…”

Section: Introductionmentioning

confidence: 99%

Preparation, characterisation and properties of green composites from Pinus roxburghii fibre

Kumar,

Rakesh,

Sreehari

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part L:

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Pinus roxburghii needles are plentiful in the Himalayas and may be processed into a natural fibre. In this research, polylactic acid composites were made, including both untreated and treated Pinus roxburghii fibres as reinforcing materials. The Pinus roxburghii fibres were produced by subjecting the Pinus roxburghii needle to an alkali treatment with a 5% sodium hydroxide solution in water, and the Pinus roxburghii fibres were obtained by a water retting extraction method. Pinus roxburghii fibre–polylactic acid composites were made using a compression moulding process. Composites were fabricated utilizing treated and untreated Pinus roxburghii fibre with fibre loadings of 20%, 30%, and 40% by weight. Subsequently, the investigators examined the alterations in the tensile, flexural, impact, and morphological properties with sodium hydroxide treatment. As expected, alkaline treatment considerably boosted the compatibility between Pinus roxburghii fibre and polylactic acid, leading to improvements in the morphological, hardness, and mechanical characteristics of Pinus roxburghii fibre composites. In addition, when 30 wt.% of treated fibres were used, the mechanical characteristics improved.

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Section: Introductionmentioning

confidence: 99%

Preparation, characterisation and properties of green composites from Pinus roxburghii fibre

Kumar,

Rakesh,

Sreehari

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part L:

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2,3-Dihydrobenzofuran production eco-friendly by fast pyrolysis from Dendrocalamus asper biomass

da Costa,

Guimarães,

França

et al. 2023

Biomass Conv. Bioref.

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Predictive analysis of tensile strength ratios in laminated bamboo composites: Unraveling the stochastic impact of ply angle variations through machine learning model

Kumar,

Mandal

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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Laminated bamboo composites (LBC), made by sandwiching bamboo strips, offer promising alternatives to traditional construction materials, especially for housing. However, subjection to the continuous static loading makes these materials initiate cracks inside their various ply. This study uses classical laminate theory (CLT) to determine the strength ratio (SR) of the LBC at different ply orientations by applying Tsai-Wu and Tsai-Hill failure criteria using MATLAB. The study aims to calculate the SRs for LBCs using CLT, employing an ANN model and stochastic finite element (FE) modeling to investigate SRs of five-layered LBCs with varying ply orientations. Applying CLT, the highest SR was determined to be 1.5375 × 107 N/m for the [0°/0°/0°/0°/0°] laminate, as per both failure theories. The study reveals substantial SR variations depending on ply orientation, consistently showing higher SR predictions with the Tsai-Wu theory compared to the Tsai-Hill theory. Next, the study emphasizes the deterministic methodologies to account for the stochastic effects of ply angle on the obtained SR of LBCs. Monte Carlo simulation (MCS) was utilized to model 10,000 randomly generated ply angle inputs and their associated SRs. By incorporating MCS to introduce ±1% variations in ply angles and utilizing normally distributed data, this research effectively captures uncertainties associated with ply orientation. Finally, to forecast the random SR of LBC with various ply orientations, an artificial neural network (ANN) surrogate model is employed. The stochastic analysis confirms the need to quantify the associated uncertainties. The findings of this study are crucial for advancing the application of LBC in sustainable construction, providing valuable insights into their mechanical behavior under different ply orientations, considering the stochastic effect in properties.

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Response surface method-based optimisation of advanced mechanochemical approach for bead minimisation in bamboo fiber extraction, and improving hydrophobicity via diisopropanolamine treatment

Cited by 3 publications

References 80 publications

Preparation, characterisation and properties of green composites from Pinus roxburghii fibre

Preparation, characterisation and properties of green composites from Pinus roxburghii fibre

2,3-Dihydrobenzofuran production eco-friendly by fast pyrolysis from Dendrocalamus asper biomass

Predictive analysis of tensile strength ratios in laminated bamboo composites: Unraveling the stochastic impact of ply angle variations through machine learning model

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