Predicting the performance of bonded filled rubber mounts in compression using data measured in a simple shear deformation

Sahrom Hasshim, . and Busfield J. J. C., . and Thomas A. G., . Predicting the performance of bonded filled rubber mounts in compression using data measured in a simple shear deformation. pp. 88-98. ISSN 1511-1768

The problem of predicting the stiffness of bonded carbon black filled rubber mounts is difficult because of the problems associated with geometric non-linearity and material characterisation. It is proposed that alternative simple forms of stored energy function can be employed to model the non-linear material properties. For carbon black filled materials it is apparent that it is possible to obtain the relevant materials data from just a single materials test made in any of a number of simple homogeneous deformation modes. The approach is validated by taking materials data for simple shear measurements and using the data to predict the behaviour of compression mounts with a range of shape factors.

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Abstract

The problem of predicting the stiffness of bonded carbon black filled rubber mounts is difficult because of the problems associated with geometric non-linearity and material characterisation. It is proposed that alternative simple forms of stored energy function can be employed to model the non-linear material properties. For carbon black filled materials it is apparent that it is possible to obtain the relevant materials data from just a single materials test made in any of a number of simple homogeneous deformation modes. The approach is validated by taking materials data for simple shear measurements and using the data to predict the behaviour of compression mounts with a range of shape factors.

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Item Type:	Article
AGROVOC Term:	Rubber
AGROVOC Term:	Regression analysis
AGROVOC Term:	Measurement
AGROVOC Term:	Carbon black
AGROVOC Term:	analysis
AGROVOC Term:	Data
AGROVOC Term:	Dimensions
AGROVOC Term:	Compressibility
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:28
URI:	http://webagris.upm.edu.my/id/eprint/23294

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