Suitability of Four Varieties of <i>Cocos Nucifera</i> Husk in Ghana for Pulp and Paper Production

Afrifah, Kojo Agyapong; Osei, Lina; Ofosu, Samuel

doi:10.1080/15440478.2020.1870615

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…At the same time, it also has a very important guiding significance to complete the teaching system of various colleges and universities and improve the teaching methods. In addition, the system can also describe the learning situation of different students in school in detail [7,8], which plays an auxiliary role for school decision-makers to make scientific decisions.…”

Section: Decision Support System For Distance Learning Based On Data Miningmentioning

confidence: 99%

Design of Decision Support System for Distance Learning Based on Data Mining

Shao¹

2021

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Since the existing system cannot assess the quality of distance education, the credibility and efficiency of decision support results are low, and the stability of the system is also poor. Combined with data mining technology, a remote learning decision support system based on data mining is designed and proposed. First, the actual situation of each university is analyzed, the system is designed in combination with the B/S architecture, and the various components of the system are described in detail. Then, the C4.5 algorithm of the decision tree algorithm is used to establish a distance teaching quality evaluation model, and the corresponding classification rules are extracted to effectively realize the teaching quality evaluation. Finally, a simulation test is carried out. The experimental results show that the designed system can comprehensively improve the stability and execution efficiency of the system, enhance the credibility of decision support results, and have certain practical applicability.

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Section: Decision Support System For Distance Learning Based On Data Miningmentioning

confidence: 99%

Design of Decision Support System for Distance Learning Based on Data Mining

Shao¹

2021

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“…The proportion of these wood constituents varies among species (Dehkhoda, 2008). High holocellulose content is desirable for high quality and yield of pulp (Zhan et al, 2015;Afrifah et al, 2020). By contrast, lignin is undesirable for pulp and papermaking, and has to be removed due to its negative impact on fibre strength and pulp yield (Tran, 2006).…”

Section: Sample Collection and Preparation Izbor In Priprava Vzorcev Lesamentioning

confidence: 99%

“…RAZMERJA VLAKEN Images of fibres for fibre dimensions and anatomical ratios were captured from slides of macerated wood under an electronic microscope using Micron (USB2) (Figure 2). In all 75 straight fibres, The determined fibre dimensions were incorporated in Equations 2 to 7 to calculate Slenderness, Runkel and Flexibility Ratios, Coefficient of Rigidity, Luce's Shape Factor and Solids Factor (Varghese et al, 2000;Hegde and Varghese, 2008;Rana et al, 2009;Afrifah et al, 2020). (2)…”

Section: Determination Of Fibre Dimensions and Anatomical Ratios Dimenzije In Anatomskamentioning

confidence: 99%

“…This fibre property is important for determining the tensile, bursting and tearing strength properties of paper (Afrifah et al, 2020). A low rigidity coefficient (RC) is preferable for fibres producing quality papers with high tensile and bursting strength properties (Takeuchi et al, 2016).…”

Section: Rigidity Coefficient Koeficient Togostimentioning

confidence: 99%

“…The mean values for the SF observed for Alstonia Afrifah, K. A., & Adjei-Mensah, E.: Anatomical and chemical characterization of Alstonia boonei for pulp and paper production boonei (i.e. 1.08×10 -6 ± 5.6×10 -5 μm 3 to 1.83×10 -6 ± 9.0×10 -5 μm 3 ) were low (Table 1) and thus will positively influence the breaking length and sheet density of papers (Afrifah et al, 2020). Additionally, fibres of Alstonia boonei with these low SF will produce papers with good strength properties (Ofosu et al, 2020).…”

Section: Luce's Shape Factor Luceov Faktor Oblikementioning

confidence: 99%

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Anatomical and chemical characterization of Alstonia boonei for pulp and paper production

Afrifah¹,

Adjei-Mensah²

2021

les-wood

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Alstonia boonei, an abundant lesser utilized species within the West African Subregion, was evaluated as an alternative raw material for pulp and paper production. The basic density (BD), fibre characteristics [fibre length (FL), fibre diameter (FD), lumen diameter (LD) and wall thickness (WT)], derived anatomical indices [Flexibility Ratio (FR), Slenderness Ratio (SR), Rigidity Coefficient (RC), Luce’s Shape Factor (LSF), Solids Factor (SF) and Runkel Ratio (RR)] and chemical composition (lignin, holocellulose, 1% NaOH solubility and ash contents) of A. boonei were studied to evaluate variation along the trunk (base, middle and top portions) and ascertain its suitability for pulp and paper production. Significant variations were observed in the density and fibre characteristics along the trunk of the tree. Although the FD was large, the observed adequate FL, thin-wall and large LD implied easy beating of fibres and manufacture of dense, smooth and strong papers. The favourable SF, RR, FR, RC, and LSF values obtained for the fibres would produce papers with suitable burst and tearing strengths and folding endurance. Chemically the lower lignin (< 30%), ash and 1% NaOH solubility and the high holocellulose contents of A. boonei, will generate a higher pulp yield. A. boonei although a low-density species, will be desirable for pulp and paper production.

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