The present study numerically simulates the mixed convection of the hybrid nanofluid (HNFs) of Al₂O₃/CuO–H₂O on a simple heat sink (HS). The (HNFs) flow passes on an isothermal HS. The NF flow was treated as a slip flow on the upper wall. A uniform magnetic field influences the NF flow. The control volume method was employed with SIMPLE algorithm to solve the algebraic equations. For this purpose, the thickness of fins was changed between 0.1 and 0.3, studying four layouts for fins with different thicknesses. The results indicated that dispersing 3% volume fraction of hybrid nanoparticles (NPs) at a 1:1 ratio to the water enhanced heat transfer and entropy generation ($S_{gen}$) by 2.78% and 6.59%, respectively. Compared to Al₂O₃ NPs, dispersing CuO NPs was approved that has a larger effect on heat transfer improvement. A change in the fin thickness or layout at different Richardson numbers (Ri) triggered different behavior in isotherms and $S_{gen}$.

本研究数值模拟了简单散热器（HS）上Al ₂ O ₃ / CuO–H ₂ O混合纳米流体（HNF）的混合对流。（HNFs）流通过等温HS。NF流被视为上壁上的滑流。均匀的磁场会影响NF流动。控制体积方法与SIMPLE算法一起使用来求解代数方程。为此，鳍片的厚度在0.1到0.3之间变化，研究了具有不同厚度的鳍片的四种布局。结果表明，以1：1的比例将3％体积分数的杂化纳米颗粒（NPs）分散到水中可增强传热和熵产生（${\mathrm{小号}}_{GËñ}$）分别增加2.78％和6.59％。与Al ₂ O ₃ NPs相比，已批准分散CuO NPs对改善传热效果更大。在不同的理查森数（Ri）下，翅片厚度或布局的变化触发了等温线的不同行为，并且${\mathrm{小号}}_{GËñ}$。