بررسي تاثير پارامترهاي موثر در برش دقيق با استفاده از روش المان محدود و شبكه عصبي مصنوعي

Study in Effect of different parameters in Fine-Blanking process with FEM and Its Formulation Based on Artificial Neural Networks

Fine-blanking is an effective and economical shearing process which offers a precise and clean cutting edge finish, eliminates unnecessary secondary operations and increases quality. Fine-blanking process utilizes triple-action tools: a punch, a stripper with an indented V-ring and a Counter punch (ejector) to generate a highly compressive stress state. The deformation is more violent and localized than that of any other metal forming operations. Therefore it is difficult to fully understand the mechanism of the process. This study investigates the effect of V-ring indenter, clearance of die, Force of holder and Counter punch, etc on state of stress, quality and accuracy of production. Some parameters have both positive and negative effect on quality of production and the life of the tool. Utilizing V-Ring indenter in Die will increase quality of production and life of the tool. Aiso Artificial Neural Networks was used to simulate Fine-Blanking process. It has been shown that booth of FEM and ANN is suitable for simulating and forecast of effect of the parameters on production. Keywords: Die-roll, Fine-Blanking, V-ring, Hydrostatic pressure, Finite Element Method, Artificial Neural Networks.