Application Of Response Surface Methodology (RSM) For Optimization Paramter Of LSCF-CuO For Intermediate Temperature Solid Oxide Fuel Cells
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Date
2021-07-01
Authors
John, Jonathon
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Optimization of lanthanum strontium cobalt ferrite mixed with copper (II) oxide (LSCF-CuO) for
the synthesis condition is carried out to maximize the fuel performance. The optimization is carried
out using Response Surface Methodology; Central composite design (CCD), Historical data and
Optimal-D models in the Design-Expert (12) software and the comparison between them have been
made. The optimization was carried over a done experiment to analyze the parameters, sintering
temperature (°C) and CuO concentration (wt%) on the polarization resistance Ωcm-2 which
indirectly affect the fuel cell performance. The adequacy analysis for all the 3 designs shows
normal distribution plot which indicate the accuracy of the quadratic to predict the response. Based
on ANOVA analysis for all the 3 designs, p value of less than 0.05 for the sintering temperature
and CuO concentration indicate a significant effect of these parameters on the polarization
resistance. Based on the fit summary analysis, the designs shows good fit of quadratic models since
the R2 for CCD, Historical data and Optimal-D are 0.9911, 0.9936 and 0.9959 respectively (close
to unity). The aim of the optimization is to minimize the polarization resistance and therefore
Optimal-D model shows the good optimization result since it exhibit the lowest Rp of 0.11 Ωcm-2
compared to Historical data (0.16 Ωcm-2 ) and CCD (0.12 Ωcm-2 ). The optimized sintering
temperature and CuO concentration for Optimal-D were 656 °C and 1.65wt % respectively.