Study On Fatigue Of Filled Rubber

Natural rubber and synthetic rubber show many unique characterization in physics and chemistry, such as hyperelasticity and large deformation, and also show excellent performances in flexibility, abrade-resistant, insulation and obstructive-ness. They are suitable for large service application. Especially, for vulcanization and filler filled rubber compound, which have improved mechanics and physics performances, are applied abroad in engineering structures such as tires, vibration damper, potted components and etc. Rubber products often endure cyclic stress state in service, the fatigue characterization of rubber materials often determines products service life. So it is valuable to research the fatigue of rubber.Because of the special molecule structure and mechanics behavior, rubber materials experience not only physical damage in fatigue process, but also do chemical damage—thermal aging deterioration in high temperature, which should not be neglected especially for a high loading frequency or high temperature environment. So considering thermal aging effect to rubber may give an accurately result to predict the fatigue life.The text introduces constitutive models and thermal aging deterioration rule of carbon-filled rubber materials firstly. The 3 order Yeoh constitutive model is used to describe the mechanical behavior of carbon-filled rubbers, the aging deterioration rule of carbon-filled rubber is discussed by thermal aging test, and an incomplete quadratic polynomial model is established by Response Surface method, which can describe the variation of performance with aging time and temperature of aged rubber. Based on Fatigue Crack Growth method of rubber fatigue life prediction model, a new life prediction formula is driving by using the Yeoh model which considers thermal aging effect to rubber performance. At last, fatigue tests are carried, using Fatigue Crack Growth method, the fatigue crack growth characterizations of carbon-filled rubber are studied, and the fatigue life are predicted, it shows that the predicted results agree well with experimental results. In addition, when the thermal aging effect is considered in fatigue process, the life prediction result is higher than experimental result, and when the...