Estimation of Life of an Elastomeric Component: A Stochastic Model

Abstract

Life of equipment has been an area of great importance to engineers, however, largely unexplored. In the case of elastomers, this becomes more critical because of faster degradation in properties of the elastomers, and thereby performance of the elastomeric item, when compared to metals-the degradation referred to as aging of the elastomer. The present work focuses on the development of a stochastic model for estimating life of a vibration isolator, which finds many defence applications, to attenuate noise and vibration from the machinery. A majority of the vibration isolators use rubber for attenuation, and therefore, the life of the isolator invariably depends on the life of the rubber. The methodology of life estimation has been based on the Arrhenius theory of chemical kinetics and is applicable where the material degrades relatively faster at higher temperature so that the degradation rates can be studied. Statistical techniques have been applied to arrive at a reliable estimation. The method can be used for reliable estimation of storage life of elastomeric products, and thereby help to maintain cost-effective inventory.

Shelf‐life prediction of silicone‐hollow glass microsphere composite as liner material and its accelerated aging

“…Determination of failure times or degradation rates at elevated temperatures is correlated with similar level of degradation at lower temperature at a scaled‐up time, which is known as accelerated aging. This phenomenon has been used to predict shelf‐life of SHGC with the assumption that the chemical reactions involved in deterioration of materials follow the Arrhenius reaction rate Equation () 41 ; where, K ( T ) is the reaction rate constant (t −1 ), A is preexponential factor (min −1 ), E is activation energy (J/mol), R is gas constant (8314 J/mol K), T is absolute temperature (K).…”

“…Determination of failure times or degradation rates at elevated temperatures is correlated with similar level of degradation at lower temperature at a scaled-up time, which is known as accelerated aging. This phenomenon has been used to predict shelf-life of SHGC with the assumption that the chemical reactions involved in deterioration of materials follow the Arrhenius reaction rate Equation (9) 41 ;…”

“…Since elongation at break is considered as most useful criterion to determine the effective life of a flexible vulcanization, 36,41,51 the value of elongation at break versus time for each temperature has been plotted. From this plot, the time required for 50% property degradation/ retention has been determined for each temperature, as reported in Table 7.…”

A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions

“…Damping work [71,72,78] Dynamically stored energy [79] Relative change in length [80] Crack length [81] Crack depth [82] Rate of crack growth [83] Strain amplitude [84][85][86] Stiffness [73,[87][88][89] Tear energy [76,90]…”

Biodegradable Gloves for Waste Management Post-COVID-19 Outbreak: A Shelf-Life Prediction

“…Mainly, there are two models present in the literature on the life estimation of an elastomer, namely, Arrhenius and Williams–Landel–Ferry (WLF) models . However, a widely used method to predict the shelf life is through kinetic modeling based on the Arrhenius equation. − In order to simulate the situation, the products are normally stored at a higher temperature than room temperature under clearly defined controlled conditions.…”