Prediction of Effective Thermal Conductivity of Polymer Composites Using an Artificial Neural Network Approach

A new approach to modeling the effective thermal conductivity of ceramics porous media using a generalized self-consistent method

“…The pores are assumed as capillary tubes that are parallel to the matrix. Capillary resistance was calculated by Capillary length and pore size and with similar electrical, porous media total resistance was obtained [11,12]. A review of effective thermal conductivity models were given in Table 1.…”

Adaptive Neuro-Fuzzy Inference System for Prediction of Effective Thermal Conductivity of Polymer-Matrix Composites

“…In the last few years, many researchers used artificial neural network approach to predict thermo-physical coefficients in different areas. Recently, Singh et al [19] and Bhoopal et al [20] have applied ANN approach successfully to predict the ETC of various complex systems. Gotlib et al [21], Zhang and Friedrich [22] and Turias et al [23] have also predicted various properties with the help of ANN approach Kadi [24] studied the mechanical behavior of fiber-reinforced polymeric composite by using artificial neural networks.…”