IJRME – Volume 1 Issue 1 Paper 3

Detailed review and Prediction of Ductile Fracture Behavior of Materials by victimisation ANN and DOE Techniques

Author’s Name : Nirmal |Chandra

Volume 01 Issue 02  Year 2014  ISSN No:  2349-3860  Page no: 11-16



Nowadays sheet applications square measure terribly wide within the automotive still as part industries, at the same time failures also are happens sometimes throughout the applications that leads in losses within the resources. Earlier researchers were studied the failure analysis through varied Failure Mode and Effective Analysis (FMEA) technique and tried to predict the fracture before failure happens. This work tries to predict the ductile fracture criterion for the sheet to avoid the failure by suggests that of considering varied governable and uncontrollable parameters. With the planning of Experiments and the Artificial Neural Network techniques a ductile fracture initiation criteria shapely and therefore the model are going to be valid through Finite component simulation for the verification of the standard. If comparison results square measure inside the limit condition, the model will be utilized for the prediction of ductile fracture before it happens within the real application.


Failure Mode, Effective Analysis, Artificial Neural Network,Ductile Fraction.