Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Integrating Experimental Strain Functions and Machine Learning for Enhanced Finite Element Analysis of PEMFC Gasket Materials

Version 1 : Received: 25 August 2023 / Approved: 28 August 2023 / Online: 29 August 2023 (13:56:40 CEST)

A peer-reviewed article of this Preprint also exists.

Park, S.-H.; Kareem, A.B.; Joo, W.J.; Hur, J.-W. FEA Assessment of Contact Pressure and Von Mises Stress in Gasket Material Suitability for PEMFCs in Electric Vehicles. Inventions 2023, 8, 116. Park, S.-H.; Kareem, A.B.; Joo, W.J.; Hur, J.-W. FEA Assessment of Contact Pressure and Von Mises Stress in Gasket Material Suitability for PEMFCs in Electric Vehicles. Inventions 2023, 8, 116.

Abstract

The degradation of Proton-exchange membrane fuel cell (PEMFC) gasket materials is crucial in electric vehicles as it can cause hazardous hydrogen fuel leaks, which are usually due to high temperatures, pressures, and hydrogen fuel exposure. Degradation of gasket materials in PEMFC presents a critical concern for electric vehicle safety due to potential hydrogen fuel leaks. This study utilizes finite element analysis (FEA) to assess the suitability of gasket materials for PEMFC applications, focusing on aging and tensile conditions. The dual degradation framework, incorporating contact pressure and von Mises stress, is employed to evaluate Liquid Silicon Rubber (LSR) and Ethylene Propylene Diene Monomer (EPDM) materials. Under aging techniques, the Yeoh model exhibits the least Mean Absolute Percentage Error (MAPE) and computational cost of 0.27 seconds, while the Ogden model records the highest computational cost of 0.89 seconds. In evaluating MAE, Root Mean Square Error (RMSE), and R-squared metrics, LSR and EPDM materials demonstrate respective averages of 0.25%, 0.275%, 0.945%, and 0.815%, 0.685%, 0.77%. Tensile testing (Uniaxial) reveals RMSE and MAE values of 0.30%, 0.40%, and 0.50%, 0.40%, respectively. FEA proves instrumental in identifying suitable gasket materials for PEMFC applications. LSR emerges as the superior choice, demonstrating enhanced FEA modelling performance under aging and tensile conditions. These findings contribute valuable insights to the design and development of improved gasket materials, bolstering the safety and reliability of electric vehicles.

Keywords

contact pressure; finite element analysis; gasket material; hyperelastic models, PEMFC, polynomial regression, strain functions, von Mises stress

Subject

Engineering, Energy and Fuel Technology

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