Improving the mechanical performance of biocomposite plaster/ Washingtonian filifira fibres using the RSM method

Benzannache, Naziha; Belaadi, Ahmed; Boumaaza, Massaouda; Bourchak, Mostefa

doi:10.1016/j.jobe.2020.101840

Cited by 35 publications

(14 citation statements)

References 45 publications

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“…The WBLH fibre presented a more compactly smooth surface as compared to WAKL. This indicated that residual lignin and hemicellulose were substantially removed at this stage, while the smooth structure of cellulose was still maintained [ 3 , 9 ]. In the later acid hydrolysis treatment, WMCC showed fibrous features since the strong acidic attack of hydronium ions had disintegrated the cellulose structure into individual small size fibrils.…”

Section: Resultsmentioning

confidence: 99%

“…Additionally, another peak at 2925 cm −1 (C-H stretching of cellulose) became sharper for WMCC. This was due to the increasingly exposed cellulose content within the sample [ 8 , 9 ]. However, there is no significant intensity change at the 1745 cm −1 peak (hemicellulose C=O stretching) and 1538 cm −1 peak (lignin C=C vibration), indicating that both lignin and hemicellulose compounds were still present in each fibre sample [ 10 , 13 ].…”

Section: Resultsmentioning

confidence: 99%

“…Figure 4 presents the XRD patterns of fibre samples. All fibres showed prominent peaks at around 15.3°, 16.8°, 22.5° and 34.7°, reflecting the crystallographic planes of (1–10), (110), (200) and (004) [ 9 , 15 ]. These planes revealed that each fibre had a cellulose I crystalline form with a polymorph of a beta type structure [ 14 , 16 ].…”

Section: Resultsmentioning

confidence: 99%

“…According to the literature, it was reported that Washingtonia fibres could be utilized for biocomposite applications or to derive other cellulosic-based products. Benzannache et al [ 9 ] mechanically improved biocomposite plaster with incorporation of Washingtonian fibres, whilst their performance was examined using a response surface methodology. Another study by Gaagaia et al [ 10 ], who extracted cellulosic fibres from Washingtonia, revealed that the fibres have great thermal stability and tensile strain.…”

Section: Introductionmentioning

confidence: 99%

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Extraction of Microcrystalline Cellulose from Washingtonia Fibre and Its Characterization

et al. 2021

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Washingtonia is a desert plant with great sustainability and renewability in nature and is abundantly cultivated across global urban regions. Its fibre biomass comprises cellulose as the major structural part, and this is why it can be potentially utilized as an alternative biomaterial for manufacturing microcrystalline cellulose (MCC) products that can be widely applied in industrial fields. In the present study, NaOH-treated Washingtonia fibre (WAKL), NaClO2-treated Washingtonia fibre (WBLH), and Washingtonia microcrystalline cellulose (WMCC) were extracted through combined treatments of alkalization, bleaching, and acidic hydrolysis, respectively. The obtained chemically treated fibre samples were subjected to characterization to investigate their morphology, physico-chemistry, and thermal stability. In a morphological examination, the large bunch WAKL fibre reduced into small size WMCC fibrils, evidencing that the lignin and hemicellulose components were greatly eliminated through chemical dissolution. The elemental composition revealed that almost all impurities of anions and cations had been removed, particularly for the WMCC sample, showing its high purity of cellulose content. Additionally, the WMCC sample could attain at 25% yield, giving it the advantage for feasible economic production. Furthermore, the physicochemical analysis, Fourier Transform Infrared-ray (FTIR), indicated the presence of a crystalline cellulose region within the WMCC structure, which had promoted it with high crystallinity of 72.6% as examined by X-ray diffraction (XRD). As for thermal analysis, WMCC showed greater thermal stability comparing to WAKL and WBLC samples at high temperature. Therefore, Washingtonia fibre can be a reliable biosubstituent to replace other plant material for MCC production in the future.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Extraction of Microcrystalline Cellulose from Washingtonia Fibre and Its Characterization

et al. 2021

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“…Currently, a wide variety of plant fibers are currently used as reinforcements for different matrices [7,8], such as sisal. [9], jute [10], Agave americana L. [11], flax [4,[12][13][14], Washingtonia filifera [15], date palm [16,17] and pineapple [18].…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation and optimization of delamination factors in the drilling of jute fiber–reinforced polymer biocomposites with multiple estimators

Adda

Belaadi

Boumaaza

et al. 2021

Int J Adv Manuf Technol

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Currently, the manufacture of composite structures often requires material removal operations using a cutting tool. Indeed, since biocomposites are generally materials that do not conduct electricity, electro-erosion cannot be utilized. As a result, the processes that can be used are limited to conventional machining, called chip removal machining, such as drilling.Delamination factors are widely recognized for controlling the damaged area (delamination) induced by drilling in industry. As discussed in the literature, several approaches are available to evaluate and quantify the delamination surrounding a hole. In this context, the objective of this study is to compare the three Fd evaluation methods that have been most frequently used in previous investigations. To this end, three rotational and feed speeds and three BSD tool diameters were selected (L27) for drilling 155 g/m 2 density jute fabric reinforced polyester biocomposites. The response surface methodology (RSM) and artificial neural networks (ANNs) were applied to validate the results obtained experimentally as well as to predict the behavior of the structure depending on the cutting conditions.

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Drilling of a bidirectional jute fibre and cork-reinforced polymer biosandwich structure: ANN and RSM approaches for modelling and optimization

Tabet

Belaadi

Boumaaza³

et al. 2021

Int J Adv Manuf Technol

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The present study examined the effects of drilling parameters such as spindle speed (N), feed rate (f), diameter of the tools (d) and drill geometry such as twist drills (HSS-TiN) and brad & spur drills (BSD) used on delamination damage in a biosandwich structure consisting of an epoxy matrix reinforced with bidirectional jute bres and cork (JFCE). Response surface methodology (RSM) and arti cial neural networks (ANNs) were exploited to evaluate the in uence and interaction of the cutting parameters on the delamination factor (F d ) at the output during drilling. In addition, several optimization methods, such as desirability-based RSM, the genetic algorithm (GA) and the fmincon function, were applied to validate the optimal combination of cutting parameters (f, N and d) in the structures studied in biosandwiches during this research. According to the experimental results, severe damage was indeed observed with the BSD tool (F d = 1.684) compared to the HSS-TiN tool (F d = 1.555) for the same cutting conditions. To obtain the minimum F d , the optimum conditions obtained by GA were respectively 1397.54 rev/min, 51.162 mm/min and 5.981 mm for HSS-TiN for f, N and d.

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Improving the mechanical performance of biocomposite plaster/ Washingtonian filifira fibres using the RSM method

Cited by 35 publications

References 45 publications

Extraction of Microcrystalline Cellulose from Washingtonia Fibre and Its Characterization

Extraction of Microcrystalline Cellulose from Washingtonia Fibre and Its Characterization

Experimental investigation and optimization of delamination factors in the drilling of jute fiber–reinforced polymer biocomposites with multiple estimators

Drilling of a bidirectional jute fibre and cork-reinforced polymer biosandwich structure: ANN and RSM approaches for modelling and optimization

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