ANN ANALYSIS OF TITANIUM ALLOY BEAMS ACCORDING TO BENDING FOR MEDICAL APPLICATIONS
In this study, different cross sectional geometries have been compared under bending stress with three different techniques. To determine the optimal design of the designed parts, 6 different cross sectional geometries (Rectangle, Circle, Equilateral Triangle, Diamond, Ellipse and Rounded Rectangle), 101 different cross sectional areas and 3 different materials (titanium alloys) have been used. Length of the beams and applied moments have been assumed constant. Analytical solution, Finite Element Method (FEM) and artificial neural network (ANN) modelling (number of 1818 models) have been performed according to deformation values. At the beginning, analytical solutions and the FEM were compared to each other by using statistical analysis with respect to Root Mean Square (RMS), Absolute Fraction of Variance (R2) and Mean Error Percentage in order to confirm the precision of FEM. After the statistical analysis, resulted deformation values were used as data at the ANN modelling. After the ANN analysis same statistical evaluation has been conducted in order to designate the accuracy of the ANN model. As a result, three different techniques have been conducted and a thorough ANN model has been created. Thanks to this model, optimal dimensions of medical devices can be designed according to bending by using this simple and effective method.
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