Computer Science – Artificial Intelligence
Scientific paper
2010-02-05
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 1, January 2010, http://ijcsi.org/articles/Est
Computer Science
Artificial Intelligence
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 1, January 2010, http://ijcsi.org/articles/Est
Scientific paper
In this paper, research on AI based modeling technique to optimize development of new alloys with necessitated improvements in properties and chemical mixture over existing alloys as per functional requirements of product is done. The current research work novels AI in lieu of predictions to establish association between material and product customary. Advanced computational simulation techniques like CFD, FEA interrogations are made viable to authenticate product dynamics in context to experimental investigations. Accordingly, the current research is focused towards binding relationships between material design and product design domains. The input to feed forward back propagation prediction network model constitutes of material design features. Parameters relevant to product design strategies are furnished as target outputs. The outcomes of ANN shows good sign of correlation between material and product design domains. The study enriches a new path to illustrate material factors at the time of new product development.
Malvin Raj Joseph M.
Mohamed Nazirudeen S. S.
Prakash Soorya K.
No associations
LandOfFree
Establishment of Relationships between Material Design and Product Design Domains by Hybrid FEM-ANN Technique does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Establishment of Relationships between Material Design and Product Design Domains by Hybrid FEM-ANN Technique, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Establishment of Relationships between Material Design and Product Design Domains by Hybrid FEM-ANN Technique will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-535152