Preparation of activated carbon from rice husk for CO2 adsorption: Isotherm and artificial neural network modelling

被引：2
|
作者：
Palle, Kishor [1 ]
Yadav, G. K. Sivasankara [2 ]
Gayatri, Sambhani Naga [3 ,4 ]
Vunguturi, Shanthi [1 ]
Babu, P. Ramesh [5 ]
Rao, K. Subba [6 ]
Ali, Md. Mustaq [7 ]
机构：
[1] Muffakham Jah Coll Engn & Technol, Dept Chem, Hyderabad, Telangana, India
[2] Rayalaseema Univ, Dept Phys, Coll Sci, Kurnool, Andhra Pradesh, India
[3] MLR Inst Technol, Dept Sci & Humanities, Hyderabad, Telangana, India
[4] Guru Nanak Univ, Univ Inst Engn & Technol UIET, Dept Interdisciplinary Sci, Hyderabad, India
[5] Gokaraju Rangaraju Inst Engn & Technol, Dept Phys, Hyderabad, Telangana, India
[6] Malla Reddy Engn Coll Autonomous, Dept Chem H&S, Main Campus, Secunderabad, Telangana, India
[7] Malla Reddy Engn Coll Autonomous, Dept Math H S, Main Campus, Secunderabad, Telangana, India
来源：
MRS COMMUNICATIONS | 2022年 / 12卷 / 05期
关键词：
CAPTURE; SILICA;
D O I：
10.1557/s43579-022-00262-w
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A great deal of attention has been paid to the climate change greenhouse effect in recent years. Rice husk porous carbon adsorbent was made using a single step of KOH activation in this investigation. Carbon dioxide adsorption was studied by the generated activated carbon. For adsorption isotherm data, isotherm models such Freundlich, Langmuir, Hill, Temkin, and Dubinin-Rudeshkovich were utilised. Additionally, the capacity to adsorb CO2 was predicted using artificial neural networks. Trial and error allowed us to choose the architecture with the best regression coefficient and the lowest mean-square error (MSE).
引用
收藏
页码：886 / 893
页数：8
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