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View article: Nanofluid Cooling Enhances PEM Fuel Cell Stack Performance via 3D Multiphysics Simulation
Nanofluid Cooling Enhances PEM Fuel Cell Stack Performance via 3D Multiphysics Simulation Open
The proton-exchange membrane fuel cell (PEMFC) generates a significant reaction and ohmic heat during operation, imposing stringent cooling requirements. This study employs a three-dimensional, non-isothermal, steady multiphase multiphysic…
View article: Hydrogen-Powered Marine Vessels: A Rewarding yet Challenging Route to Decarbonization
Hydrogen-Powered Marine Vessels: A Rewarding yet Challenging Route to Decarbonization Open
The maritime industry, while indispensable to global trade, is a significant contributor to greenhouse gas (GHG) emissions, accounting for approximately 3% of global emissions. As international regulatory bodies, particularly the Internati…
View article: Numerical analysis of water management and reactant distribution in PEM fuel cells with a convergent 5-channel serpentine flow field for emission-free ships
Numerical analysis of water management and reactant distribution in PEM fuel cells with a convergent 5-channel serpentine flow field for emission-free ships Open
Polymer Electrolyte Membrane Fuel Cells (PEMFCs) represent a promising energy solution for the marine industry, facilitating a sustainable transition from fossil fuels to emission-free alternatives. Despite their high power density and eff…
View article: Towards Reliable Prediction of Performance for Polymer Electrolyte Membrane Fuel Cells via Machine Learning-Integrated Hybrid Numerical Simulations
Towards Reliable Prediction of Performance for Polymer Electrolyte Membrane Fuel Cells via Machine Learning-Integrated Hybrid Numerical Simulations Open
For mitigating global warming, polymer electrolyte membrane fuel cells have become promising, clean, and sustainable alternatives to existing energy sources. To increase the energy density and efficiency of polymer electrolyte membrane fue…
View article: A Comprehensive Analysis of the Integration of Deep Learning Models in Concrete Research from a Structural Health Perspective
A Comprehensive Analysis of the Integration of Deep Learning Models in Concrete Research from a Structural Health Perspective Open
Concrete stands as the most widely used construction material globally due to its versatility, encompassing applications ranging from pavement, multifloor structures, and bridges to dams. However, these concrete structures endure structura…
View article: Uncovering the Effect of Physical Conditions and Surface Roughness on the Maximum Spreading Factor of Impinging Droplets Using a Supervised Artificial Neural Network Model
Uncovering the Effect of Physical Conditions and Surface Roughness on the Maximum Spreading Factor of Impinging Droplets Using a Supervised Artificial Neural Network Model Open
The phenomenon of liquid droplet impingement on solid surfaces is particularly important in industrial applications related to spray coating, thermal spraying, inkjet printing, spray cooling, and powder generation industries. Atomized liqu…