Study about Characteristics of FTIR and XRD for Corn Stalk Surface with KH-560 Treatment

Miao, Yawen; Zhang, Guilan

doi:10.1016/j.egypro.2012.01.181

Cited by 9 publications

(5 citation statements)

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“…The crystallization degree of treated specimens was lower than untreated specimens as the surface of banana peels was modified by silane coupling agent. The crystal cell structure of cellulose for modified banana peels was distinguishable compared to unmodified banana peels [13]. This situation shows that with the modification of silane treatment on banana peels, the crystallization degree of treated biocomposite samples increases compared to untreated samples.…”

Section: Analysis Of X-ray Diffractionmentioning

confidence: 88%

Determination of Structural, Physical, and Thermal Properties of Biocomposite Thin Film From Waste Banana Peel

et al. 2018

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This study summarizes the research on organic fillers, where eggshells were used as the reinforcement and banana peels as the matrix in the manufacturing of biocomposite thin film. Banana peel fibers exhibit a good characteristic of renewable material for the substitution of cement-based composites. However, biocomposite properties are limited by the poor adhesion between natural fiber interface and polymer matrix, which can be improved by chemical modification of fibers. In this research, banana peels were subjected to silane treatment. Biocomposite thin film manufacturing processes were carried out using blending and hand lay-up techniques with various concentrations of epoxy/waste banana peels/eggshell filler (EWE) ratios (EWE 0%, EWE 5%, and EWE 10%). X-ray diffraction (XRD), Fourier transform infrared (FTIR), thermogravimetric analysis (TGA), and thickness swelling test were conducted on silane-treated and untreated banana peel biocomposite samples. In XRD analysis, it was found that EWE 10% sample had the highest crystallinity compared to EWE 0% and EWE 5%, and silane-treated samples had higher crystallinity than untreated samples. For FTIR test, lignin component was removed in silane treatment based on the changes of IR peak characteristic where the new bonds (-Si-O-C-, -Si-O-Si-, and -Si-C-) were found in treated samples. Besides, TGA results showed that the thermal stability of silane-treated samples was improved significantly with the increase of eggshell filler percentage, which was proven by the decrease in the decomposition stage. In thickness swelling test, the samples achieved higher swelling percentage as the percentage of eggshell filler increased. However, the decrease of 5–6% in thickness swelling of treated samples was possibly offset by the enhancement in fiber/matrix interfacial adhesion.

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Section: Analysis Of X-ray Diffractionmentioning

confidence: 88%

Determination of Structural, Physical, and Thermal Properties of Biocomposite Thin Film From Waste Banana Peel

et al. 2018

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“…Hemicellulose, cellulose, and lignin are the three main components of biomass and their thermal decompositions occur at 220 to 315 °C, 315 to 400 °C, and 160 to 900 °C, respectively (Miao and Zhang 2012), to vaporize their extractives (Rao and Sharma 1998). bioresources.com Huang et al (2015). "Pyrolysis of corn stalk," BioResources 10(1), 2020-2031.…”

Section: Introductionmentioning

confidence: 99%

Thermal Decomposition Properties of Materials from Different Parts of Corn Stalk

Huang¹,

Wu²,

Zhou³

et al. 2015

BioResources

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aTo help better utilize corn stalk (CS), pyrolysis behavior of materials from different parts of the CS including corn stalk without pith, corn root, and corn leaf were analyzed using thermogravimetric analysis (TGA) at heating rates of 5, 10, 20, and 25 °C/min. The apparent activation energies determined by the Friedman method for corn stalk without pith, corn root, and corn leaf were in the range of 26.4 to 103.6 kJ/mol, 37.6 to 69.5 kJ/mol, and 35.0 to 103.9 kJ/mol, respectively, depending on the conversion. The main thermal decomposition occurred within a temperature range of 200 to 350 °C (±10 °C). Most of the volatile materials decomposed at less than a 0.8 conversion rate. At greater than a 0.8 conversion rate, the remaining material was mainly char, and the decomposition of char proceeded at higher conversion rates. Different pyrolysis characteristics in the CS indicated that different treatments should be chosen according to different parts for achieving the optimum conversion rate in practical applications.

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“…After the treatment, the bands at around 3471 cm −1 , assigned to the vibration of the (‐OH) hydroxyl group, became more visible which can be advantageous for grafting the silane coupling agent to an organic matrix 58 . The band depicted at 1564 cm −1 was ascribed to the bending mode of the hydroxyl groups and the ones at around 1397 cm −1 were attributed to stretching vibration of O‐Si‐O 59 . Furthermore, significant increase is noted in the spectra of the treated Bi 2 O 3 for the vibration mode at 700–400 cm −1 which is a characteristic for metal‐oxygen (Bi‐O‐Bi) vibration 23 .…”

Section: Resultsmentioning

confidence: 96%

Artificial neural network prediction of thermal and mechanical properties forBi₂O₃‐polybenzoxazinenanocomposites

Hassan

Derradji

Ali

et al. 2022

J of Applied Polymer Sci

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Polybenzoxazine (BA-a) based nanocomposites with varying amounts of Bi 2 O 3 particles reinforcement (10, 20, and 30 wt%) were produced. The structures of the Bi 2 O 3 before and after surface silane treatment, as well as the structures of the BA-a matrix and its nanocomposites, were all evaluated using Fourier transform infrared spectroscopy (FTIR). The thermal stability of the samples was evaluated by thermogravimetric analysis (TGA) and the resistance to bending was studied using the three-point bending test. Then, an artificial neural network approach was used to estimate the thermal degradation and flexural strengths of the polybenzoxazine matrix and its nanocomposites. The results of the TGA analysis showed that when Bi 2 O 3 content increased, the char yield (Y c ) of the nanocomposites also increased from 27.98% to 43.53% for the experimental data and from 27.95% to 43 0.57% for the prediction, with all SDs less than 0.02. Moreover, both the experimental and predicted values of the flexural strengths for the unfilled BA-a displayed 100.40 and 102.96 MPa, respectively and these values increased to 119.65 and 114.95 MPa when 10 wt % of fillers were incorporated into the matrix. However, for higher filler contents, 20 and 30 wt%, these values decreased to 112.94 and 108.01 MPa for the experiments, and 106.35 and 103.20 MPa for the prediction, respectively. The very small deviations (<0.05) between the experimental and predicted values demonstrated that the prediction approach using the artificial neural network is reliable and accurate.

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Study about Characteristics of FTIR and XRD for Corn Stalk Surface with KH-560 Treatment

Cited by 9 publications

References 1 publication

Determination of Structural, Physical, and Thermal Properties of Biocomposite Thin Film From Waste Banana Peel

Determination of Structural, Physical, and Thermal Properties of Biocomposite Thin Film From Waste Banana Peel

Thermal Decomposition Properties of Materials from Different Parts of Corn Stalk

Artificial neural network prediction of thermal and mechanical properties forBi₂O₃‐polybenzoxazinenanocomposites

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Study about Characteristics of FTIR and XRD for Corn Stalk Surface with KH-560 Treatment

Cited by 9 publications

References 1 publication

Determination of Structural, Physical, and Thermal Properties of Biocomposite Thin Film From Waste Banana Peel

Determination of Structural, Physical, and Thermal Properties of Biocomposite Thin Film From Waste Banana Peel

Thermal Decomposition Properties of Materials from Different Parts of Corn Stalk

Artificial neural network prediction of thermal and mechanical properties forBi2O3‐polybenzoxazinenanocomposites

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Product

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Artificial neural network prediction of thermal and mechanical properties forBi₂O₃‐polybenzoxazinenanocomposites