ASEAN Journal on Science and Technology for Development
Abstract
In this study, a feed-forward back-propagation Artificial Neural Network (ANN) is used to predict the stress relaxation and behavior of creep for bimaterial microcantilever beam for sensing device. Results obtained from ANSYS® 8.1 finite element (FE) simulations, which show good agreement with experimental work [1], is used to train the neural network. Parametric studies are carried out to analyze the effects of creep on the microcantilever beam in term of curvature and stress deve loped with time. It is shown that ANN accurately predicts the stress level for the microcantilever beam using the trained ANSYS® simulation results due to the fact that there is no scattered data in the FE simulation results. ANN takes a small fraction of time and effort compar ed to FE prediction.
Publication Date
10-30-2017
Recommended Citation
WaiChi, Wong; HingWah, Lee; A., Azid Ishak; and K.N., Seetharamu
(2017)
"Creep analysis of bimaterial microcantilever beam for sensing device using artificial neural network (ANN),"
ASEAN Journal on Science and Technology for Development: Vol. 23:
No.
1, Article 2.
DOI: https://doi.org/10.29037/ajstd.95
Available at:
https://ajstd.ubd.edu.bn/journal/vol23/iss1/2