TY - JFULL AU - M. Hassani and Y. Hassani and N. Ajudanioskooei and N. N. Benvid PY - 2015/10/ TI - Comparative Study of Bending Angle in Laser Forming Process Using Artificial Neural Network and Fuzzy Logic System T2 - International Journal of Mathematical and Computational Sciences SP - 594 EP - 598 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10006791 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 105, 2015 N2 - Laser Forming process as a non-contact thermal forming process is widely used to forming and bending of metallic and non-metallic sheets. In this process, according to laser irradiation along a specific path, sheet is bent. One of the most important output parameters in laser forming is bending angle that depends on process parameters such as physical and mechanical properties of materials, laser power, laser travel speed and the number of scan passes. In this paper, Artificial Neural Network and Fuzzy Logic System were used to predict of bending angle in laser forming process. Inputs to these models were laser travel speed and laser power. The comparison between artificial neural network and fuzzy logic models with experimental results has been shown both of these models have high ability to prediction of bending angles with minimum errors. ER -