scholarly journals Prediction of Forming Limit Diagram for Ti-6Al-4V Alloy Using Artificial Neural Network

2014 ◽  
Vol 6 ◽  
pp. 341-346 ◽  
Author(s):  
Nitin Kotkunde ◽  
Aditya D. Deole ◽  
Amit Kumar Gupta
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Forming Limit Diagram ◽  
Forming Limit ◽  
Artificial Neural

scholarly journals Prediction of Forming Limit Diagram for AA5754 Using Artificial Neural Network Modelling

2016 ◽  
Vol 716 ◽  
pp. 770-778 ◽  
Author(s):  
Mohamed Mohamed ◽  
Sherif Elatriby ◽  
Zhusheng Shi ◽  
Jian Guo Lin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Forming Limit Diagram ◽  
Forming Limit ◽  
Network Modelling ◽  
Forming Condition ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Artificial Neural Network Modelling ◽  
Good Agreement

Warm stamping techniques have been employed to solve the formability problem in forming aluminium alloy panels. The formability of sheet metal is a crucial measure of its ability for forming complex-shaped panel components and is often evaluated by forming limit diagram (FLD). Although the forming limit is a simple tool to predict the formability of material, determining FLD experimentally at warm/hot forming condition is quite difficult. This paper presents the artificial neural network (ANN) modelling of the process based on experimental results (different temperature, 20°C-300°C and different forming rates, 5-300 mm.s-1) is introduced to predict FLDs. It is shown that the ANN can predict the FLDs at extreme conditions, which are out of the defined boundaries for training the ANN. According to comparisons, there is a good agreement between experimental and neural network results

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

Forecasting travel demand: a comparison of logit and artificial neural network methods

1998 ◽  
Vol 49 (7) ◽  
pp. 717-722 ◽  
Author(s):  
M C M de Carvalho ◽  
M S Dougherty ◽  
A S Fowkes ◽  
M R Wardman
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Travel Demand ◽  
Network Methods ◽  
Artificial Neural
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