ArticleDiscover nano2026
Theoretical analysis for heat and mass transfer in bioconvective ternary hybrid nanofluid flow with entropy optimization.
Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Heat transfer improvement and irreversibility optimization in ethylene glycol-based radiative ternary hybrid nanoliquid flow over stretching sheet.Discover nano · 2026Article
- Bioconvection driven flow of magnetized micropolar hybrid nanofluid with Ohmic heating and variable thermal conductivity.Discover nano · 2026Article
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5 authors.
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Abstract
Ternary hybrid nanofluids(THNFs) are a revolutionary advancement in thermal management, offering remarkable thermal conductivity that significantly boosts heat transfer efficiency. THNFs are ideal for cooling systems, solar energy applications, and electronic device regulation, where effective heat management is crucial. By fine tuning their composition, researchers can tailor these nanofluids to meet specific industrial needs, leading to improved efficiency and energy savings. The goal of current study is twofold: first, to examine the improvement of heat, mass, and motile density of THNF, and secondly, to investigate the irreversibilities in bioconvective dihybrid and trihybrid nanofluids. The THNF is formulated by suspension of nanoparticles of cobalt ferrite [Formula: see text], disulfide (dithioxo) molybdenum [Formula: see text], and copper (Cu) into pure engine oil [Formula: see text]. For dihybrid nanofluid the volume fraction of copper is taken as zero. Maxwell fluid model is utilized to analyze the performance of THNF and dihybrid nanofluid(DHNF). The flow in THNF and DHNF is induced due to an impermeable stretched sheet. Flow governing equations for DHNF and THNF are obtained considering diverse assumptions like electro-magnetohydrodynamic(EMHD), Dufour, Soret, chemical reaction, thermal radiation, and activation energy. Irreversibilities are modeled with the help of thermodynamics second law. The model equations are altered into ordinary system via transformation procedure. Numerical simulations are carried out through built-in function(NDSolve) of Mathematica. Impact of generated variables on DHNF and THNF velocity, thermal field, motile density profile and mass concentration are examined. Comparative analysis for THNF and DHNF is performed. Furthermore, local heat, mass, density, and skin friction coefficient for THNF and DHNF are numerically investigated. Numerical results show that the skin friction coefficient for THNF is 3.2% more than that of DHNF, and the heat transfer rate of THNF is up to 16% higher than that of DHNF. The density number of DHNF is about 1.08% less than that of THNF.
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