Polyaniline/wheat Husk Ash Nanocomposite Preparation and Modeling Its Removal Activity with an Artificial Neural Network
In this work the removal efficiency of malachite green (MG) by using a nanocomposite was investigated. For preparation this nanocomposite the polyaniline (PANI) was coated on wheat husk ash (WHA). This nanocomposite was analyzed by X-ray diffraction (XRD) and scaning electron microscopy (SEM). The r...
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Science Faculty of Chiang Mai University
2019
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th-cmuir.6653943832-638752019-05-07T09:59:36Z Polyaniline/wheat Husk Ash Nanocomposite Preparation and Modeling Its Removal Activity with an Artificial Neural Network Fatemeh Ghanbary Ahmed Jafarian In this work the removal efficiency of malachite green (MG) by using a nanocomposite was investigated. For preparation this nanocomposite the polyaniline (PANI) was coated on wheat husk ash (WHA). This nanocomposite was analyzed by X-ray diffraction (XRD) and scaning electron microscopy (SEM). The removal rate is strongly dependent on the PANI/WHA initial dosage, MG initial concentration, UV light intensity and irradiation time. The effect of these parameters has been studied and the optimum operational conditions was found. To predict the removal of MG in the presence of PANI/WHA nanocomposite an artificial neural network model (ANN) was developed. The comparison between the predicted results by designed model and the experimental data proved that modeling for removal process of MG using ANN was a precise method to predict the extent of MG removal under different conditions. 2019-05-07T09:59:36Z 2019-05-07T09:59:36Z 2017 บทความวารสาร 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8028 http://cmuir.cmu.ac.th/jspui/handle/6653943832/63875 Eng Science Faculty of Chiang Mai University |
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In this work the removal efficiency of malachite green (MG) by using a nanocomposite was investigated. For preparation this nanocomposite the polyaniline (PANI) was coated on wheat husk ash (WHA). This nanocomposite was analyzed by X-ray diffraction (XRD) and scaning electron microscopy (SEM). The removal rate is strongly dependent on the PANI/WHA initial dosage, MG initial concentration, UV light intensity and irradiation time. The effect of these parameters has been studied and the optimum operational conditions was found. To predict the removal of MG in the presence of PANI/WHA nanocomposite an artificial neural network model (ANN) was developed. The comparison between the predicted results by designed model and the experimental data proved that modeling for removal process of MG using ANN was a precise method to predict the extent of MG removal under different conditions. |
| format |
บทความวารสาร |
| author |
Fatemeh Ghanbary Ahmed Jafarian |
| spellingShingle |
Fatemeh Ghanbary Ahmed Jafarian Polyaniline/wheat Husk Ash Nanocomposite Preparation and Modeling Its Removal Activity with an Artificial Neural Network |
| author_facet |
Fatemeh Ghanbary Ahmed Jafarian |
| author_sort |
Fatemeh Ghanbary |
| title |
Polyaniline/wheat Husk Ash Nanocomposite Preparation and Modeling Its Removal Activity with an Artificial Neural Network |
| title_short |
Polyaniline/wheat Husk Ash Nanocomposite Preparation and Modeling Its Removal Activity with an Artificial Neural Network |
| title_full |
Polyaniline/wheat Husk Ash Nanocomposite Preparation and Modeling Its Removal Activity with an Artificial Neural Network |
| title_fullStr |
Polyaniline/wheat Husk Ash Nanocomposite Preparation and Modeling Its Removal Activity with an Artificial Neural Network |
| title_full_unstemmed |
Polyaniline/wheat Husk Ash Nanocomposite Preparation and Modeling Its Removal Activity with an Artificial Neural Network |
| title_sort |
polyaniline/wheat husk ash nanocomposite preparation and modeling its removal activity with an artificial neural network |
| publisher |
Science Faculty of Chiang Mai University |
| publishDate |
2019 |
| url |
http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8028 http://cmuir.cmu.ac.th/jspui/handle/6653943832/63875 |
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1681425976685232128 |