Artificial Neural Network Modeling of Forming Limit Diagram

作者：Derogar Ali; Djavanroodi Faramarz^*

来源：Materials and Manufacturing Processes, 2011, 26(11): 1415-1422.

DOI：10.1080/10426914.2010.544818

• Al6061-T6
• Artificial neural network
• Forming limit diagram
• Ti(6)Al(4)V

Forming limit diagram (FLD) provides the limiting strains a sheet metal can sustain whilst being formed. In this article, the formability of Ti6Al4V titanium alloy and Al6061-T6 aluminum alloy sheets is investigated experimentally using hydroforming deep drawing. Hecker's simplified technique [1] was used to obtain experimental FLDs for these sheet materials. Artificial neural network (ANN) modeling of the process based on experimental results is introduced to predict FLDs. It is shown that a feed forward back propagation (BP) ANN can predict the FLDs, therefore, indicating the possibility of ANN as a strong tool in simulating the process. According to comparisons there is a good agreement between experimental and neural network results.

• 出版日期2011