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This computational study investigates heat transfer enhancement in nanofluids while accounting for viscous dissipation, Joule heating (electrical resistance heating), and yield stress effects using a local similarity mathematical approach. The research models how these physical phenomena interact to affect thermal energy transfer in non-Newtonian fluids containing nanoparticles. The local similarity method was employed to solve the governing equations describing fluid flow and heat transfer under these combined conditions.
Why it matters
Understanding these thermal mechanisms in nanofluids has practical applications in cooling systems, heat exchangers, and industrial processes where efficient thermal management is critical. The findings could inform the design of more effective cooling technologies in electronics, automotive systems, and energy conversion devices.
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