Application of 2K full factorial on the production of charcoal briquettes made from coconut shell

Sani Inuwa, Lamido, Muktar Habib, Sarah Chinyere Oloboh
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Abstract

The production of charcoal briquettes using 2k full factorial Design in Design Expert V12 software was utilized in this research work. The factors considered are: Quantity of CaCO3, Quantity of NaNO3 and Quantity of Starch binder. Analysis of variance (ANOVA) indicates that the linear effect of all the factors: A (Quantity of Catalyst), B (Quantity of CaCO3) and C (Quantity of Starch) are significant with P-values of 0.0050, 0.0062, and 0.0003 respectively. Other significant effects are the interactive effect of BC (Quantity of NaNO3 and Quantity of Starch) and that of the combine effect of all the three (3) factors (ABC) with P-values of 0.0125 and 0.0031 respectively. The Model F-value of 755.59 implies the significant of the model. The coefficient of determinant (R2) for the model of 0.9995 and Adjusted R2 of 0.9981 shows that the model equation has a very good fit to the experimental data. Briquettes produced from Run 7 and 4 have the least volatile matter of 1.54% and 1.67% respectively, the lowest ash content of 2.14% and 2.19 % respectively and the highest percentage fix carbon of 97.67% and 96.56% respectively.
2K全因子在椰壳炭块生产中的应用
本研究采用Design Expert V12软件中的2k全因子设计对木炭型煤的生产进行了研究。考虑的因素有:CaCO3的用量、NaNO3的用量和淀粉粘合剂的用量。方差分析表明,A(催化剂用量)、B (CaCO3用量)和C(淀粉用量)的线性效应显著,p值分别为0.0050、0.0062和0.0003。其他显著效应为BC (Quantity of NaNO3 and Quantity of Starch)的交互效应和所有3个因素(ABC)的联合效应,p值分别为0.0125和0.0031。模型f值为755.59表示模型的显著性。模型的行列式系数(R2)为0.9995,调整后的R2为0.9981,表明模型方程与实验数据有很好的拟合。7号和4号煤的挥发分最低,分别为1.54%和1.67%,灰分最低,分别为2.14%和2.19%,固定碳含量最高,分别为97.67%和96.56%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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