Organoclay maleated natural rubber nanocomposite. Prediction of abrasion and mechanical properties by artificial neural network and adaptive neuro-fuzzy inference

Maleated natural rubber (MNR) was produced and employed in different amounts as compatibilizer in preparation of organoclay/natural rubber (OC/NR) nanocomposite. Oscillating disk rheometry, scanning electron microscopy (SEM), X-ray diffraction (XRD) analysis, rheomechanical spectroscopy, dynamic mechanical analysis, tensile and abrasion tests were used to evaluate the prepared samples. The obtained results showed that the use of MNR caused an increase in the maximum torque of rheometry, curing rate index and crosslink density. XRD analysis indicated that using of MNR, especially in the amount of 8 parts, resulted in a greater intercalation of OC layers. SEM showed a good dispersion of the OC as well as higher interfacial interaction between NR molecules and OC. These lead to improvement of modulus, tensile strength and abrasion resistance. Then the obtained results were modeled by artificial intelligence techniques. Comparison made between experimental and predicted values, indicated that the modeling results were in good agreement with the corresponding experimental amounts.