The paper deals with devising the combination of fuzzy inference systems (FIS) and neural networks called the adaptive network fuzzy inference system (ANFIS) to determine the forming limit diagram (FLD). In this paper, FLDs are determined experimentally for two grades of low carbon steel sheets using out-of-plane (dome) formability test. The effect of different parameters such as work hardening...

The conventional theoretical forming limit diagram (FLD) based on the plane stress state has defects due to neglect of in thickness direction sheet. It is urgent study FLD which considers direction. Through finite element simulation, it further confirmed that will be induced deformation process. At same time, effect not as always applied during Based Modified Maximum Force Criterion (MMFC) inst...

This paper presents a comparison between a number of different failure prediction methods for superplastic forming processes. Attention is limited here to superplastic forming of Ti-6Al-4V at 927C. The failure prediction methods considered include the flow localisation factor approach, forming limit curves based on void growth models, such as the Rice and Tracey model and the Cocks and Ashby mo...

This paper presents a comparison between a number of different failure prediction methods forsuperplastic forming processes. Attention is limited here to superplastic forming of Ti-6Al-4V at 927C. Thefailure prediction methods considered include the flow localisation factor approach, forming limit curvesbased on void growth models, such as the Rice and Tracey model and the Cocks and...

Up to now a large number of models have been developed to measure or predict the damage in equipments. Some of these models have been implemented in ABAQUS software. To implement damage parameters in the software, it is necessary to perform complex and expensive practical tests. One of these damage models is Forming Limit Diagram (FLD).The purpose of this research is deriving required parameter...