پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 31 |
| تعداد شمارهها | 834 |
| تعداد مقالات | 8,015 |
| تعداد مشاهده مقاله | 14,852,464 |
| تعداد دریافت فایل اصل مقاله | 9,586,490 |
Modeling of Activated Carbon Preparation from Spanish Anthracite Based on ANFIS Structure | ||
| Challenges in Nano and Micro Scale Science and Technology | ||
| مقاله 2، دوره 1، شماره 1، فروردین 2013، صفحه 19-25 اصل مقاله (665.33 K) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.7508/tpnms.2013.01.002 | ||
| نویسندگان | ||
| S. Rashidi؛ M.A. Fanaei* ؛ A. Ahmadpour | ||
| Department of Chemical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| چکیده | ||
| Carbon nanostructures are famous structures which are used in several industries such as separation, treatment, energy storage (i.e. methane and hydrogen storage), etc. A successful modeling of activated carbon preparation is very important in saving time and money. There are some attempts to achieve the appropriate theoretical modeling of activated carbon preparation but most of them were almost unsuccessful due to the complexity between the input and output variables. In this paper the empirical modeling of activated carbon preparation from Spanish anthracite based on adaptive neuro-fuzzy inference system (ANFIS) is investigated. ANFIS model is established to delineate the relationship between the BET surface area of the prepared activated carbon with initial and operational conditions; agent type, agent ratio, activation temperature, activation time and nitrogen flow. The results show that the selected model have a good accuracy with a coefficient of determination values (R2) of 0.9885 and average relative error (ARE) of 0.00268. | ||
| کلیدواژهها | ||
| Activated Carbon؛ ANFIS؛ Carbon nanostructure؛ Neural Network | ||
| مراجع | ||
|
[1] J.M. Dias, M.C.M. Alvim-Ferraz, M.F. Almeida,J. Rivera-Utrilla, M. Sánchez-Polo, Wastematerials for activated carbon preparation and itsuse in aqueous-phase treatment: A review, Journalof Environmental Management, 85 (2007) 833-846,.
[2] A. Alonso, V. Ruiz, C. Blanco, R. Santamaría, M.Granda, R. Menéndez, S.G.E. de Jager, Activatedcarbon produced from Sasol-Lurgi gasifier pitchand its application as electrodes insupercapacitors, Carbon, 44 (2006) 441-446.
[3] I.M.J. Vilella, S.R. de Miguel, O.A. Scelza,Hydrogenation of citral on Pt and PtSn supportedon activated carbon felts (ACF), Latin Americanapplied research, 35 (2005) 51-57.
[4] J. Jagiełło, T.J. Bandosz, J.A. Schwarz,Characterization of microporous carbons usingadsorption at near ambient temperatures,Langmuir, 12 (1996) 2837-2842.
[5] C.M. Lastoskie, K.E. Gubbins, Characterization ofporous materials using molecular theory andsimulation, in: Advances in ChemicalEngineering, Academic Press, 2001 pp. 203-250,.
[6] A. Moussatov, C. Ayrault, B. Castagnède, Porousmaterial characterization - ultrasonic method forestimation of tortuosity and characteristic lengthusing a barometric chamber, Ultrasonics, 39(2001) 195-202.
[7] D. Lozano-Castelló, D. Cazorla-Amorós, A.Linares-Solano, D.F. Quinn, Influence of poresize distribution on methane storage at relativelylow pressure: preparation of activated carbon withoptimum pore size, Carbon, 40 (2002) 989-1002.
[8] A. Ahmadpour, D.D. Do, The preparation ofactivated carbon from macadamia nutshell bychemical activation, Carbon, 35 (1997) 1723-1732.
[9] J. Simitzis, J. Sfyrakis, Activated carbon fromlignocellulosic biomass-phenolic resin, Journal ofApplied Polymer Science, 54 (1994) 2091-2099.
[10] F. Rezaei, P. Webley, Optimum structuredadsorbents for gas separation processes, ChemicalEngineering Science, 64 (2009) 5182-5191.
[11] D. Lozano-Castelló, J. Alcañiz-Monge, M.A. de laCasa-Lillo, D. Cazorla-Amorós, A. Linares-Solano, Advances in the study of methane storagein porous carbonaceous materials, Fuel, 81 (2002)1777-1803.
[12] Rashidi, H., and Ahmadpour, A., Investigation theeffect of activating agent on the preparation ofactivated carbon used for methane storage, 12thChemical Engineering National IranianConference, Tabriz, Iran, 2008.
[13] M.A. Lillo-Ródenas, D. Lozano-Castelló, D.Cazorla-Amorós, A. Linares-Solano, Preparationof activated carbons from Spanish anthracite: II.Activation by NaOH, Carbon, 39 (2001) 751-759.
[14] M.A. Lillo-Ródenas, D. Cazorla-Amorós, A.Linares-Solano, Understanding chemical reactionsbetween carbons and NaOH and KOH: An insightinto the chemical activation mechanism, Carbon,41 (2003) 267-275.
[15] D. Lozano-Castelló, M.A. Lillo-Ródenas, D.Cazorla-Amorós, A. Linares-Solano, Preparationof activated carbons from Spanish anthracite: I.Activation by KOH, Carbon, 39 (2001) 741-749.
[16] A. Perrin, A. Celzard, A. Albiniak, M. Jasienko-Halat, J.F. Marêché, G. Furdin, NaOH activationof anthracites: effect of hydroxide content on poretextures and methane storage ability, Microporousand Mesoporous Materials, 81(2005) 31-40.
[17] M. Kubota, A. Hata, H. Matsuda, Preparation ofactivated carbon from phenolic resin by KOHchemical activation under microwave heating,Carbon, 47 (2009) 2805-2811.
[18] S. Jang, Adaptive network-based fuzzy inferencesystem, IEEE, 23 (1993) 665-685.
[19] T.M. Nazmy, H. El-Messiry, B. Al-Bokhity,Adaptive Neuro-Fuzzy Inference System forclassification of ECG signals, The 7thInternational Conference on Informatics andSystems (INFOS), 2010 pp. 1-6,.
[20] M. Namvar-Asl, M. Soltanieh, A. Rashidi, A.Irandoukht, Modeling and preparation of activatedcarbon for methane storage I. Modeling ofactivated carbon characteristics with neuralnetworks and response surface method, EnergyConversion and Management, 49 (2008) 2471-2477.
[21] M. Namvar-Asl, M. Soltanieh, A. Rashidi,Modeling and preparation of activated carbon formethane storage II. Neural network modeling andexperimental studies of the activated carbonpreparation, Energy Conversion and Management,49 (2008) 2478-2482.
[22] A. Shahsavand, A. Ahmadpour, Application ofoptimal RBF neural networks for optimization andcharacterization of porous materials, Computersand Chemical Engineering, 29 (2005) 2134-2143.
[23] H. Hashemipour, E.l. Jamshidi, S. Baroutian, A.Abazari, Experimental Study and Artificial NeuralNetworks Simulation of Activated CarbonSynthesis in Fluidized Bed Reactor, InternationalJ. of Chemical Reactor Engineering, 7( 2009)1945. | ||
|
آمار تعداد مشاهده مقاله: 2,868 تعداد دریافت فایل اصل مقاله: 2,065 |
||