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Ishak A. Azid
School of Mechanical Engineering, Engineering Campus, University of Science Malaysia (USM), Penang
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Mathematics

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Creep analysis of bimaterial microcantilever beam for sensing device using artificial neural network (ANN) WaiChi Wong; HingWah Lee; Ishak A. Azid; K.N. Seetharamu
ASEAN Journal on Science and Technology for Development Vol. 23 No. 1-2 (2006): ASEAN Journal on Science and Technology for Development (AJSTD)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (197.336 KB) | DOI: 10.29037/ajstd.95

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.
Co-Authors HingWah Lee K.N. Seetharamu WaiChi Wong