EXPLORING THE POTENTIAL OF NEURAL NETWORKS FOR CHARACTERIZING BIOCOMPOSITE MATERIAL PROPERTIES:A REVIEW

Mubashshar Ahmed, Satya Panigrahi Dept of Agricultural and Bioresource EngineeringUniversity of Saskatchewan

M.M. GuptaDept of Mechanical EngineeringUniversity of Saskatchewan

Denise S. D. StillingIndustrial Systems EngineeringUniversity of Regina

University of Saskatchewan

Introduction•Materials today is going through a rapid revolution.

•Using nano, micro technology and fusion of different materials new materials are being created

•Materials engineering is at the fore front of rapid development

Biocomposite

•Biocomposite materials utilize natural fibres to reinforce matrix material.

•Material mix creates properties superior to its constituents.

•Varying fibre and matrix creating new material with specified properties.

Biocomposite ...contd

http://www.hemphasis.net/Building/plasticmettle.htm

Biocomposites have an extensive history with industry use dating to the early 20th century as promulgated by Henry Ford.

Fig: Henry Ford swings hammer at hemp-composite trunk lid on Ford car

Biocomposite …contd

http://uwadmnweb.uwyo.edu/sbir/Wssi/images/nwsltr_pics/HeartlandBioProto.jpg

Applications today range from structural applications for civil structures to semi-structural for component designs and daily household products.

Biocomposite Lumber production

Biocomposite problems

•Biocomposites face the challenge that their properties are varying, non-homogeneous and inconsistent.

•Industry applications cannot tolerate this inherent variation

•Inconsistency has proven to be a challenge in developing biocomposites for consumer market

problems …contd

Design Engineering Process. The goal is to meet the end user requirements the first time with low cost

(Characterization and Failure Analysis of Plastics, 2003)

problems …contd

•Time required for consistent product development

•Rapid prototyping not possible

•Biological Materials are inherently complex to model

•Huge investment in Research and Development

•The result is biocomposites have not gained its fair market share.

A solution!

•The properties of biocomposites are multifaceted and often require complex computations to model effectively.

•One tool capable of performing such parallel processing is artificial neural networks (NN).

•NN have been applied to other applications requiring complex algorithms with notable successes for many different areas ranging from neuro-vision, neuro-control and others. (Gupta et. al., 2003).

Neural Networks

Fig: Artificial NN in operation Fig: Biological neurons synaptic operations

Neural Networks …contd

Neural Networks …contd

Neural Networks …contd

Neural Pattern Classifiers

(-1,1) (1,1)

(-1,-1) (1,-1)

x1

x2

Neural Networks …contd Neural Unit with Linear Synaptic Operation (LSO)

OR logic operations

AND logic operations

Neural Networks …contd

XOR logic operations

NN & materials

Ashida (2003), have worked on Multilayer composites plates. In their effort to optimize the design they have used neural networks.

In their study their have tried to determine the thickness of each peroceramic layer by using neural networks

NN & materials …contd

According to Bhadeshia, (1999), in his review work on neural networks in materials science –points out that there are many problems where the quantitative treatments are “dismally” lacking.

NN & materials …contd

Tho et. al., 2004, used neural networks to interpret load displacement curves. They used data derived from finite element analyses to train and also validate the artificial neural network. Their research model as used in their study is the figure above

NN & materials …contd

A Generalized Regression Neural Network was used by Ren and Yao, 2004. Their study performed structural optimization of pneumatic tire using neural Networks.

Summary

• Neural network models can be wherever the complexity of problem is overwhelming and simplification is not acceptable

• NN in Materials Science and Engineering

• Use for Biological Materials

Acknowledgements

• Dr.Satyanarayan Panigrahi, Dr. M.M. Gupta

• Bill Crerar, Jimmy Fung

• NSERC, Saskatchewan Agriculture and Food (SAF)

• AMUBE Group, College of Engineering

•SASKBET, Biofiber Industries Ltd.

Questions

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