Simetrik V Şekilli Plakadaki Gerilme Yığılma Faktörünün Yapay Sinir Ağı ile Modellenmesi

Machine parts are exposed to stress accumulation due geometric differences. Determining the locations is crucial design procedures. Studies on concentrations have been conducted in past using a variety of theoretical and experimental methodologies, distinct interpretations offered depending geometry machine part be produced. The ability complete activities with least amount effort shortest time has emerged as result new computer technologies software that impacted many aspects our everyday lives. One these methods artificial neural networks (ANN) model, which branch intelligence. It argued thesis this study fast low-cost solutions can found problems field solid mechanics by ANN model. For purpose, model developed determine SCF value plate symmetrical V-shaped notch. graphs obtained from previous studies were converted digital format Kt values for notch problem different parameters into data file. In file, according strength upper limit safety factor part, dimensional dimensions material type required design, calculated numerically form an Excel An ANN-based code was created MATLAB solution method presented containing