Optimasi Ukuran Partikel dan Penambahan Limbah Vinasse dalam Meningkatkan Sifat Fisik Briket Arang Sekam Padi

Azzahra, Tsania Putri (2024) Optimasi Ukuran Partikel dan Penambahan Limbah Vinasse dalam Meningkatkan Sifat Fisik Briket Arang Sekam Padi. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Briquettes are a type of solid fuel from biomass materials that contain carbon, high calorific value, and have a long flame time. Rice husk is a material that can be used to produce biobriquettes because it contains 23.86% lignin, 21.31% hemicellulose, and 31.33% cellulose. The purpose of this research is to determine the optimum particle size of rice husk charcoal and the addition of vinasse waste from rice husk charcoal briquettes. In this study, the process of making rice husk charcoal briquettes is that the rice husk is carbonized using a furnace with a temperature of 250 oC for 30 minutes. The resulting charcoal is pulverized and then sieved according to the particle size variation. Then the sample is mixed with glue from tapioca starch with a ratio of charcoal and adhesive of 8 : 1, as well as additional vinasse waste according to variations. Then the samples that have been mixed are molded using a cylindrical mold with a total sample weight of 15 grams. Then the samples were dried in an oven with a temperature of 75 oC for 1 hour to dry and strengthen the briquette test so that it is not easily brittle. The resulting rice husk charcoal briquette samples were tested in the form of water content, ash content, and calorific value tests. After obtaining the test results, the next step is to optimize using the RSM method with Design Expert 13 software. The optimum point results obtained are in the combination of particle size variables of 35.152 mesh and vinasse waste volume of 6.049 ml. The moisture content obtained was 6.696%, ash content was 5.450%, and calorific value was 5003.399 cal/gr. So that the desirability value of 0.927 was obtained in the quadratic model. The prediction results were verified through experiments conducted on the combination of these variables three times. The results showed that the average moisture content was 6.79% with a difference in value to the model prediction of 0.094%. In addition, the average ash content was obtained at 5.44% with a difference in value against the model prediction results of 0.01%. And the average heating value obtained was 5002.93 with a difference in value to the model prediction results of 0.46%. These results show that the model prediction is good enough to represent the actual conditions.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorSanti, Sintha SorayaNIDN0021066609UNSPECIFIED
Subjects: T Technology > TP Chemical technology > TP155 Chemical engineering
Divisions: Faculty of Engineering > Departement of Chemical Engineering
Depositing User: Tsania Putri Azzahra
Date Deposited: 17 Sep 2024 07:01
Last Modified: 17 Sep 2024 07:01
URI: https://repository.upnjatim.ac.id/id/eprint/28073

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