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Since the fiber diameter determines the mechanical, electrical, and optical properties of electrospun nanofiber mats, the effect of material and process parameters on electrospun polymethyl methacrylate (PMMA) fiber diameter were studied. Accordingly, the prediction and optimization of input factors were performed using the response surface methodology (RSM) with the design of experiments technique and artificial neural networks (ANNs). A central composite design of RSM was employed to develop a mathematical model as well as to define the optimum condition. A three-layered feed-forward ANN model was designed and used for the prediction of the response factor, namely the PMMA fiber diameter (in nm). The parameters studied were polymer concentration (13-28 wt%), feed rate (1-5 mL/h), and tip-to-collector distance (10-23 cm). From the analysis of variance, the most significant factor that caused a remarkable impact on the experimental design response was identified. The predicted responses using the RSM and ANNs were compared in figures and tables. In general, the ANNs outperformed the RSM in terms of accuracy and prediction of obtained results. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate the effect of ultrasonication on the stability and thermal conductivity of TiO water nanofluids. A UV-Vis spectrophotometer was employed to determine the relative stability of nanofluids. Response surface methodology based on the Box-Behnken design was implemented to investigate the influence of power of sonication (20-80 %), time of sonication (2-20 min), and volume concentration (0.1-1 vol%) of nanofluids as the independent variables. Second-order polynomial equations were established to predict the responses, thermal conductivity, and stability of nanofluids with the intervals of 1 week and 1 month. The significance of the models was tested by means of analysis of variance (ANOVA). The optimum stability and thermal conductivity of TiO nanofluids with various sonication power and time at volume concentrations of 0.1, 0.55, and 1 % were studied. In addition, a correlation between the stability and thermal conductivity enhancement was derived in this study. The results revealed that, at low concentrations, nanofluids would become stable by low power and short period of sonication; however, no enhancement was observed in the thermal conductivity. Conversely, at high concentrations, stability and high thermal conductivity of nanofluids coincided at 1 vol%. [ABSTRACT FROM AUTHOR]