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Design and Performance Optimization of an Automobile Radiator: Means and Technologies

Article scientifique 2026 Anglais

Résumé

Radiators play a critical role in determining vehicle efficiency and continue to see improvements in heat dissipation capabilities while shedding weight. Radiators have shrunk from heavy copper brass designs to lightweight aluminum radiators with intelligent cooling. These intelligent cooling designs are achieved through innovative technologies such as fin optimization, nanofluids, computational fluid dynamics (CFD) modeling, and additive manufacturing. Advancements in artificial intelligence (AI) assisted radiator design and integrated sensor technologies will enable radiators of the future to become adaptive platforms with the intelligence to react and respond to changing conditions. Electric vehicles (EV) and hybrid electric vehicles (HEV) will use modular radiators capable of providing dynamic cooling based on the real time heat load of each subsystem. Marelli has developed a smart EV thermal management module called iTMM. Another way engineers are developing radiators at a faster pace is through AI algorithms paired with 3D printing that allows for user customizable radiator geometries. Integrated sensor networks within radiators allow for real time condition monitoring, predictive maintenance, and even active manipulation of cooling channels to control heat transfer. Research is also being conducted outside of the automobile industry in areas such as eco-friendly machining, resource efficient convective cooling, and machine learning based predictive control to reduce energy consumption and associated emissions. Developments in scalable organic photovoltaics and printable flexible graphene supercapacitors are other examples of how thermal management intersects with improving environmental impacts. Keywords: Automobile Radiator; Radiator design; Smart sensoe; Performance optimization; Nanofluid

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Shaibu, O., Eromi, S. (2026). Design and Performance Optimization of an Automobile Radiator: Means and Technologies. https://doi.org/10.64823/ijmme.2601002

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