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Experimental and Numerical Investigation of Leakage Performance in Static Face Type Elastomeric O-Ring Seals

Experimental and Numerical Investigation of Leakage Performance in Static Face Type Elastomeric O-Ring Seals

Date28th Jul 2023

Time03:00 PM

Venue Meeting: MSB – 112 (Mezzanine floor) / Hybrid mode: Online meeting link: https://meet.google.com/jzd

PAST EVENT

Details

Elastomeric O-ring seals are widely used in various industries to prevent the leakage of fluids or gasses between two mating surfaces. These seals are made from elastomeric materials such as rubber, silicone, or fluorocarbon, which exhibit unique properties such as flexibility, resilience, and chemical resistance. Elastomeric seals are used in a wide range of applications, from automotive and aerospace to oil and gas and medical devices. An experimental setup that allows for the measurement of leak initiation pressure and leak rates for O-ring elastomeric seals has been developed. This experimentation encompasses various gas pressures and compression percentages to ensure comprehensive and reliable data collection. The focus was on the NBR, FKM, and HNBR O-rings to examine their leak initiation and leak rates across different compression percentages and gas pressures. To accomplish these objectives, the established leakage prediction models were employed, such as the pressure penetration model and interface crack propagation model. By integrating these models, the study seeks to predict the leak initiation that will be observed during the experiments. The utilization of these models enhances the research by providing the framework for understanding the behavior of leak initiation under varying compression percentages and gas pressures. Moreover, they serve as valuable tools for analyzing and interpreting experimental data. The resulting data, along with the predictions from the leakage prediction models, will yield valuable insights into the performance and sealing characteristics of NBR, FKM, and HNBR O-rings. These insights have practical implications, as they can be applied to calibrate, refine, and validate leakage prediction models used in the industry

Speakers

Mr. M B Ambrish (AM18S029)

Department of Applied Mechanics & Biomedical Engineering