Drug delivery systems, where the nanofluid flow with electroosmosis and mixed convection can help in efficient and targeted drug delivery to specific cells or organs, could benefit from understanding the behavior of nanofluids in biological systems. In current work, authors have studied the theoretical model of two-dimensional ciliary flow of blood-based (Eyring-Powell) nanofluid model with the insertion of ternary hybrid nanoparticles along with the effects of electroosmosis, magnetohydrodynamics, thermal radiations, and mixed convection. Moreover, the features of entropy generation are also taken into consideration. The system is modeled in a wave frame with the approximations of large wave number and neglecting turbulence effects. The problem is solved numerically by using the shooting method with the assistance of computational software "Mathematica" for solving the governing equation. According to the temperature curves, the temperature will increase as the Hartman number, fluid factor, ohmic heating, and cilia length increase. It is also disclosed that ternary hybrid nanoparticles result in a change in flow rate when other problem parameters are varied, and the same is true for temperature graphs. Engineers and scientists can make better use of nanofluid-based cooling systems in electronics, automobiles, and industrial processes with the aid of the study's findings.
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Quaid I Azam Univ 45320, Dept Math, Islamabad 44000, PakistanQuaid I Azam Univ 45320, Dept Math, Islamabad 44000, Pakistan
Naz, S.
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Hayat, T.
Momani, S.
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Univ Jordon, Fac Sci, Dept Math, Amman 11942, Jordan
Ajman Univ, Nonlinear Dynam Res Ctr NDRC, Ajman, U Arab EmiratesQuaid I Azam Univ 45320, Dept Math, Islamabad 44000, Pakistan
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Quaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan
Prince Sultan Univ, Dept Math & Sci, Riyadh 11586, Saudi Arabia
Wenzhou Univ, Dept Math, Wenzhou 325035, Peoples R ChinaQuaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan
Nadeem, Sohail
Mushtaq, Aiman
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Quaid I Azam Univ, Dept Math, Islamabad 44000, PakistanQuaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan
Mushtaq, Aiman
Alzabut, Jehad
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Prince Sultan Univ, Dept Math & Sci, Riyadh 11586, Saudi Arabia
OSTIM Tech Univ, Dept Ind Engn, TR-06374 Ankara, TurkiyeQuaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan
Alzabut, Jehad
Ghazwani, Hassan Ali
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Jazan Univ, Fac Engn, Dept Mech Engn, POB 45124, Jazan, Saudi ArabiaQuaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan
Ghazwani, Hassan Ali
Eldin, Sayed M.
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Future Univ Egypt, Fac Engn, Ctr Res, New Cairo 11835, EgyptQuaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan