Estimation of Stress-Strain behavior of polyethylene terephthalate (PET) at different strain rates by Artificial Neural Network under simultaneous stretch scenario
Keyword(s):
In this paper, an Artificial Neural Network (ANN) is used to predict the stress-strain behavior of PET at conditions relevant to Stretch Blow Moulding i.e. Large equibiaxial deformation at elevated temperature and high strain rate. The input vectors considered are temperature, strain, and strain rate with a corresponding output parameter of stress. In the present work, a feed-forward back backpropagation algorithm was used to train the ANN. The ANN is able to approximate the relationship between stress and strain at various strain rates & temperatures to a high degree of accuracy for all conditions tested.
2005 ◽
Vol 32
(5)
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pp. 377-386
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Keyword(s):
Application of the Artificial Neural Network (ANN) Method as MPPT Photovoltaic for DC Source Storage
2019 ◽
Vol 12
(3)
◽
pp. 145
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2020 ◽
Vol 9
(1.4)
◽
pp. 658-663
2016 ◽
Vol 13
(7)
◽
pp. 652-661