Development of Hyperelastic Model for Weldlines Containing Natural Rubber Molded Part

Abstract:

Several constitutive models of non-linear large elastic deformation based on strain-energy-density functions have been developed for hyperelastic materials. These models, coupled with the Finite Element Method (FEM), can effectively utilized by design engineers to analyze and design elastomeric products operating under the deformation states. However, due to the complexities of the mathematical formulation which can only obtained at the moderate strain and the assumption of material used for the analysis. Therefore it is formidable task for design engineer to make use of these constitutive relationships. In the present work, the strain-energy-density function of weldline containing rubber part was constructed by using the Neural Network (NN) model. The analytical results were compared to those obtained by Neo-Hookean, Mooney-Rivlin, Ogden models. Good agreement between developed NN model and the existing experimental data was found, especially at very low strain and at very high strain.

• Periodical: Advanced Materials Research (Volume 747)
• Pages: 631-634
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.747.631
• Online since: August 2013
• Authors: Watcharapong Chookaew, Jirachai Mingbunjurdsuk, Pairote Jittham, Somjate Patcharaphun
• Keywords: Elastomer, Finite Element Method (FEM), Hyperelastic Model, Neural Network Model

References

[1] W. Hofmann, Rubber Technology Handbook, Hanser Publishers, New York, (1989).

[2] T. Beda, Modeling Hyperelastic Behavior of Rubber: A novel invariant-base and review of constitutive models, J Polymer Sci B Polymer Phys. 45 (2007) 1713-1732.

DOI: 10.1002/polb.20928

[3] D.J. Charlton, J. Yang, A review of method to characterize rubber elastic behavior for use in finite element analysis, . Rubber Chem Tech. 67 (1993) 481-503.

DOI: 10.5254/1.3538686

[4] M.C. Boyce, E.M. Arruda, Constitutive models of rubber elasticity: A review, . Rubber Chem Tech. 74 (2000) 504-523.

DOI: 10.5254/1.3547602

[5] R.W. Ogden, Non-Linear Elastic Deformations, Dover Publications, Inc., Mineola, New York, (1997).

[6] M.C. Shaw, E. Young, Rubber Elasticity and Fracture, J Eng Mater Tech. 110 (1988) 258-265.

[7] Y. Shen, K. Chandrashekhara, W. Breig, L.R. Oliver, Neural network based constitutive model for rubber material. Rubber Chem Tech. 77 (2004) 257 – 277.

DOI: 10.5254/1.3547822

[8] T. Sussman, K. -J. Bathe, A model of incompressible isotropic heperelastic material behavior using spline interpolation of tension-compression, Commun Numer Meth Engng. 25 (2008) 53-63.

DOI: 10.1002/cnm.1105

[9] L. Hoss, R.J. Marczak, A new constitutive model for rubber-like materials, Macanica Computacional. XXIX (2010): 2759–2773.

[10] M.T. Hagan, H.B. Demuth, M. Beals, Neural Network Design, PWS Publishing Company, U.S.A., (1996).

[11] G. Liang, K. Chandrashekhara, Neural network based constitutive model for elastomeric foams. Eng Struct. 30 (2008); 2002–(2011).

DOI: 10.1016/j.engstruct.2007.12.021

[12] W. Chookaew, T. Tungkeunkunt, J. Mingbunjerdsuk, N. Na-Ranong, S. Patcharaphun, Weld line strength of acrylonitrile butadiene rubber processed by compression molding Technique, in: MAPT-2010, Bangkok, Thailand: King Mongkut's University of Technology Thonburi, Thailand 2010, pp.219-224.

DOI: 10.1002/pen.22000

[13] S. Patcharaphun, W. Chookaew, T. Tungkeunkunt, N. Na-Ranong, Effects of filler contents and processing parameters on the weldline strength of compression molded natural rubber. Polymer Eng Sci. 51 (2011): 2353-2359.

DOI: 10.1002/pen.22000

[14] S. Patcharaphun, W. Chookaew, T. Tungkeunkunt, Influence of thermal and oil aging on weldline strength of NR/EPDM and NR/NBR blends. KU Journal: Natural Science. 45 (2011): 909-916.