What type of study is this?

This is a Computational analysis study (also classified as: Regression analysis).

Computational and regression analysis of EMHD Casson tri-hybrid nanofluid flow over a radiant Riga plate: Viscous dissipation, suction, and shape factor considerations

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Computational study shows viscous dissipation and nanoparticles shape affect energy transfer in EMHD systems, suggesting improved thermal management.

Suction augmentation diminishes the tri-hybrid casson nanofluid’s velocity and drag forces, enhancing efficiency.
The study finds that increasing mixed convection or casson factors reduces the nanofluid's temperature and improves energy transfer.
Non-spherical nanoparticles were shown to decrease the Nusselt number and increase skin friction compared to spherical ones.
Hybrid spectral techniques validated the computational model against benchmark data, highlighting its effectiveness in EMHD reactor designs.

Alwawi et al. (2025) studied this question.

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View Full Paper

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Authors

Computational study shows viscous dissipation and nanoparticles shape affect energy transfer in EMHD systems, suggesting improved thermal management.

Suction augmentation diminishes the tri-hybrid casson nanofluid’s velocity and drag forces, enhancing efficiency.
The study finds that increasing mixed convection or casson factors reduces the nanofluid's temperature and improves energy transfer.
Non-spherical nanoparticles were shown to decrease the Nusselt number and increase skin friction compared to spherical ones.
Hybrid spectral techniques validated the computational model against benchmark data, highlighting its effectiveness in EMHD reactor designs.

Alwawi et al. (2025) studied this question.

View Full Paper

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