B
Bhim Charan Meikap
Researcher at Indian Institute of Technology Kharagpur
Publications - 190
Citations - 6659
Bhim Charan Meikap is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Adsorption & Fluidized bed. The author has an hindex of 33, co-authored 182 publications receiving 5226 citations. Previous affiliations of Bhim Charan Meikap include University of KwaZulu-Natal & Curtin University.
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Removal of lead(II) from wastewater by activated carbon developed from Tamarind wood by zinc chloride activation
TL;DR: In this paper, the adsorption of lead(II) was studied on activated carbon prepared from Tamarind wood with zinc chloride activation and the experimental data were analyzed by the Freundlich isotherm and the Langmuir is-otherm.
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Removal of chromium (VI) from dilute aqueous solutions by activated carbon developed from Terminalia arjuna nuts activated with zinc chloride
TL;DR: In this paper, different structured activated carbons were prepared from Terminalia arjuna nuts, an agricultural waste, by chemical activation with zinc chloride for the adsorption of Cr(VI) from dilute aqueous solutions.
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Removal of chromium(VI) from wastewater by activated carbon developed from Tamarind wood activated with zinc chloride
TL;DR: In this paper, the adsorption of chromium(VI) was studied on activated carbon prepared from Tamarind wood with zinc chloride activation, and the experimental data were analyzed by the Freundlich isotherm and the Langmuir is otherm.
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Response surface modeling and optimization of chromium(VI) removal from aqueous solution using Tamarind wood activated carbon in batch process.
TL;DR: The present paper discusses response surface methodology (RSM) as an efficient approach for predictive model building and optimization of chromium adsorption on developed activated carbon for optimizing the removal of Cr(VI) ions from aqua solutions using activated carbon as adsorbent.
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Application of response surface methodology (RSM) for optimization of leaching parameters for ash reduction from low-grade coal
TL;DR: In this paper, a quadratic model was proposed to correlate the independent variables for maximum ash reduction at the optimum process condition by using central composite design (CCD) method.