2012
DOI: 10.1016/j.finel.2012.06.001
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Fatigue life prediction and optimum topology design of EPDM weather strip

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Cited by 6 publications
(3 citation statements)
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“…The inverse method is generally used for curve fitting the strain-stress curve for tensile specimens [21][22][23][24]. By defining the property values used in FEA through the inverse method, the thickness, geometry, and analysis conditions of the finite element model can be varied to enhance product performance [25]. However, the performance of rubber parts cannot be sufficiently expressed by elasticity alone.…”
Section: Introductionmentioning
confidence: 99%
“…The inverse method is generally used for curve fitting the strain-stress curve for tensile specimens [21][22][23][24]. By defining the property values used in FEA through the inverse method, the thickness, geometry, and analysis conditions of the finite element model can be varied to enhance product performance [25]. However, the performance of rubber parts cannot be sufficiently expressed by elasticity alone.…”
Section: Introductionmentioning
confidence: 99%
“…Uniaxial tension and creep tests were conducted to obtain the material data. The lab test for the permanent deformation was accelerated at high temperature during shorter time of 300 h. Cho et al 6 predicted the fatigue life of automobile weather-strip manufactured with ethylene-propylene-diene monomer (EPDM) rubber by making use of the nonlinear FEA and an ε–N curve of EPDM rubber. In order to enhance the fatigue life of the initial weather-strip design, the density-based topology optimization was employed to optimally tailor the weather-strip cross section by restricting the deformation of weather-strip within a linear elastic range.…”
Section: Introductionmentioning
confidence: 99%
“…The prediction of fatigue life of rubber aging has also been studied by domestic and foreign scholars. Cho et al [23] used a combination of nonlinear finite element and ε − N methods to predict the fatigue life of EPDM, Lay et al [24] studied the aging life of EPDM seals in complex environments by accelerated aging tests and Arrhenius method, and Koemmling et al [25] used time and temperature conversion and Arrhenius method to predict the life of O-ring seals.…”
mentioning
confidence: 99%