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RISS 인기검색어
- 검색키워드
- 저자 : Pramod K. Bajpai (검색결과 2 건)
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Alok Garg,Gaganpreet Kaur,Vikas K. Sangal,Pramod K. Bajpai,Sushant Upadhyay 대한환경공학회 2020 Environmental Engineering Research Vol.25 No.5
The present work deals with the modeling and optimization of photocatalytic degradation (UV/TiO₂) of aqueous solution of Acid Red 114 (AR114) dye using Artificial Neural Networks (ANN) and RSM. Photocatalytic treatment of AR114 has been executed using suspension TiO₂catalyst for commercial applications exposed to ultraviolet irradiation in a shallow pond reactor. ANN optimization has been applied to for predicting the behavior of photocatalysis. The input parameters used for analysis of aqueous dye solution are - TiO₂ dose, pH of the dye solution, initial dye concentration, UV light intensity, time and area/volume, and time whereas the outputs are evaluated in form of degradation and decolorization efficiency of AR114. The outcomes of ANN optimization have been experimentally validated. Results achieved establish ANN modeling as a good predictive model. Parameteric optimization using multi-parameter optimization has been employed with desirability function approach. Results obtained from RSM are in line as per the results of ANN modeling as well as experimental. First order kinetics is use to effectively express degradation and decolorization of AR114 dyes. Total organic carbon (TOC) removal and GC-MS study of the dye shows the total mineralization and formation of non-toxic intermediate products.
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Deepak Tiwari,Simarjot Kaur,Haripada Bhunia,Pramod K. Bajpai 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.65 No.-
Carbon dioxide capture needs development of cost effective CO2 capture technologies. This paper describes oxygen enriched nanostructured carbons synthesized from nanocasting technique using mesoporous silica as template and resorcinol-formaldehyde as precursor. Carbonization at various temperatures (600 °C–800 °C) was carried out to develop range of carbon adsorbents. Thorough characterization of textural, surface and chemical properties was carried out on prepared carbons and evaluated for CO2 capture performance using thermogravimetric analyser under dynamic conditions. Highest dynamic CO2 uptake capacity was reported to be 1.5 mmol g−1 by SRF-700 at 30 °C in 100% pure CO2. The CO2 uptake performance of the prepared carbons is affected by both the textural properties and surface chemistry. Four adsorption–desorption cycles established the material with complete stability and regenerability. Fractional order kinetic model completely described CO2 adsorption on prepared carbons. Thermodynamic parameter values suggested spontaneous, random and exothermic nature of the process. Energetically heterogeneous surface of adsorbent was confirmed by best fitting of Temkin isotherm and random pattern of isosteric heat of adsorption with surface coverage. Approximately, 1.82 MJ per kg CO2 thermal energy is required for desorption process.
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