THE NEURAL NETWORK - A WAY TO CONTROL THE SPRINGBACK EFFECT FOR THIN METAL SHEET FORMING. EXPERIMENTAL STAGE- TO FIND OUT THE RIGHT VALUE OF THE BLANK HOLDER FORCE
The forming of thin metal sheet into the final product is a complex process which requires knowledges about the principles of manufacturing. One major factor who hangs the quick born and serial productivity of the desired product is the springback effect. This paper presents the artificial neural networks method like a solution to optimize the forming process of thin metal sheet.
