Modelling and Optimization of Syngas Production from Methane Dry Reforming Over Ceria-Supported Cobalt Catalyst Using Artificial Neural Networks and Box–Behnken Design
In the present study, synthesis gas was produced from dry reforming of methane over ceria supported cobalt catalyst in a fixed bed stainless steel reactor. Artificial neural network (ANN) and Box Behnken design (BBD) were employed to investigate the effects of reactant partial pressures, reactant fe...
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| Format: | Article |
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Elsevier
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/11581/ http://umpir.ump.edu.my/id/eprint/11581/ http://umpir.ump.edu.my/id/eprint/11581/ |