Analysis Model of Physical Characteristics Sawdust Materials Through the Carbonization Process

Abstract:

Environmental contamination might result from sawdust waste that has not been adequately managed. However, waste has a high economic value. This study aimed to analyze the characteristic model of sawdust after the carbonization process. The research method used the L9(3)4 Orthogonal Array experiment. The research variables included: drying temperature (X₁), drying time (X₂), carbonization temperature (X₃), and carbonization time (X₄), each with three levels of factors. The research response variables were moisture content (Y₁), volatile matter (Y₂), ash (Y₃), and fixed carbon (Y₄) of sawdust charcoal. The results showed that the average moisture content was 0.9%, volatile matter 8.3%, ash content 8.29%, and fixed carbon content 82.51%. According to the outcomes of multiple linear regression analysis, the correlation coefficients (R) of the four were very significant for moisture content, volatile matter, ash, and fixed carbon of 0.865, 0.929, 0.987, and 0.935, respectively. The optimum conditions obtained were water content X_1-2X_2-3X_3-3X_4-3, volatile material X_1-1X_2-1X_3-1X_4-1, ash content X_1-1X_2-1X_3-1X_4-1, and carbon content X_1-2X_2-1X_3-1X_4-1. The outcomes of the sawdust charcoal proximate analysis model validation test were normally distributed, and there was no homoscedasticity, multicollinearity, or negative autocorrelation. Thus, the four models produced in this study were feasible and valid so that they could use them to predict the physical material characteristics of teak sawdust.

• Periodical: Advances in Science and Technology (Volume 122)
• Pages: 19-26
• DOI: https://doi.org/10.4028/p-ng2544
• Online since: January 2023
• Authors: Musabbikhah Musabbikhah*, Suranto Suranto
• Keywords: Carbonization, Material Physics, Model, Multiple Linear Regression, Sawdust

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