The aim of this study is to show the applicability of artificial neural networks, which are getting more applications with the advancement of technology, to determine the mechanical properties of polymeric materials. Mechanical properties of pure polypropylene, polyethylene terephthalate and their blends are determined in this study and the effect of temperature (room temperature, 40• C and 60• C) on mechanical properties is investigated. The method of artificial neural networks is used to make a prediction for mechanical properties. Mechanical properties of samples are measured using Lloyd 250N capacity tension and compression apparatus at crosshead speed of 10 mm/min, 25 mm/min, and 50 mm/min. For artificial neural networks modelling, the tensile experiment results, temperature, percent ratio, and crosshead speed are used as the input and output parameters. Three-layered multilayer perceptron, feed-forward neural network architecture is used and trained with the error back propagation. The results obtained from the output of the network are compared with the experiment results. The suitability of the method is found to be satisfactory.
The theoretical breaking boundary of the composite elastic composite material consisting of two is otropichomogeneous layers was investigated [6,7]. Three-dimensional theory of elasticity and a fragment edhomogeneous body model were used to find the theoretical breaking limit [3,6,7]. The defects of this material, which has local defects, are of the same length hand is changing with the angle β. The purpose of the articles [10,11] was to examine the effect of theoretical refraction criterion limit values on the change of the angle β. It has been observed that the theoretical refraction limit values obtained for four different composite materials increase as the angle art increases. In this study, the change values with the β angle of the theoretical refraction limit obtained in [11] article were recovered from the artificial intelligence of the MATLAB platform by ANFIS (Sugeno) method. It was seen that the values obtained with the Anfis method are the same with the theoretical results.
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