ASEAN Journal on Science and Technology for Development
Vol. 23 No. 1-2 (2006): ASEAN Journal on Science and Technology for Development (AJSTD)

Creep analysis of bimaterial microcantilever beam for sensing device using artificial neural network (ANN)

WaiChi Wong (School of Mechanical Engineering, Engineering Campus, University of Science Malaysia (USM), Penang)
HingWah Lee (School of Mechanical Engineering, Engineering Campus, University of Science Malaysia (USM), Penang)
Ishak A. Azid (School of Mechanical Engineering, Engineering Campus, University of Science Malaysia (USM), Penang)
K.N. Seetharamu (School of Mechanical Engineering, Engineering Campus, University of Science Malaysia (USM), Penang)



Article Info

Publish Date
30 Oct 2017

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.

Copyrights © 2006






Journal Info

Abbrev

ajstd

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Mathematics

Description

The coverage is focused on, but not limited to, the main areas of activity of ASEAN COST, namely: Biotechnology, Non-Conventional Energy Research, Materials Science and Technology, Marine Sciences, Meteorology and Geophysics, Food Science and Technology, Microelectronics and Information Technology, ...