In this paper, Nano-sized copper-cobalt compound oxide powders have been prepared by sol-gel technique with\r\ndifferent mole ratios of Cu/Co (from 0.00 to 0.15); Detection of the methane gas, the most chemically stable hydrocar-\r\nbon, is done. The structural properties and morphology of powders were studied by X-ray diffraction (XRD), Fourier\r\ntransform infrared spectroscopy (FTIR) and Transmission electron microscopy (TEM). XRD analysis confirms that\r\nCo3O4 and (CuO0.3CO0.7) Co2O4 phases have been formed and mean grain size were decreased with increasing dop-\r\nant (from 28 to 24nm). According to TEM images it was found that the particles have cubic morphologies with nearly\r\nuniform distribution. Then an adaptive neuro-fuzzy inference system (ANFIS) models have been utilized for prediction\r\nof sensitivity values of the corresponded sensor. The results of ANFIS model show that the independent predicted\r\nSensitivity values (S) compared to the measured target values have a good agreement. And also, high coefficient\r\nwere found (R2 > 0.98) for the response.
Loading....