Application of Adaptive Neuro Fuzzy Inference System to Predict Solubility of Methane in Polymers

Gases solubility and diffusivity in polymers are key parameters in the industrial processing of polymers. The statistical mechanics-based models such as perturbed hardchain and lattice fluid theories are often used to determine the gas solubility in different polymers at certain temperature andpressure [1]. Besides above-mentioned methods, in recent years, artificial neural network and adaptive neuro fuzzy have been introduced as powerful alternative techniques to predictgas solubility in polymers by developing a black box model based on the available experimental data [2].In this article, an adaptive neuro fuzzy inference system based on partitioning algorithm was developed to determine methane solubility in several polymers in the wide ranges oftemperature and pressure. In this model, temperature and pressure are defined as input parameters and methane solubility in polymer is assumed as output