Publications by authors named "Masoud Samandari"
Environ Technol
December 2013
Article Synopsis
- A central composite design was used to optimize the preparation of Mn/active carbon nanocatalysts for the NH3-SCR of NO at 250°C, comparing results with predictions from an artificial neural network (ANN).
- Key preparation parameters included metal loading, calcination temperature, and the degree of pre-oxidization, all of which significantly influenced catalyst efficiency, with optimal conditions identified for maximum NO conversion.
- While both models showed good predictive accuracy, the ANN outperformed the response surface methodology, with lower mean square error and higher R2 values, demonstrating its effectiveness in capturing the system's nonlinear behavior.
