Numerical investigation reveals heat transfer efficiency in nanofluid flows, highlighting algorithm performance.
In the present paper, developing laminar forced convection flows was numerically investigated by using DW and nanofluids at different volume fractions under the conditions of Tin = 293 K and Re = 1050. The volume fractions of Al2O3 nanoparticles were in the range of 1-4vol%. Meanwhile, four simulation algorithms were utilized such as SIMPLE, SIMPLEC, PISO and Coupled to examine the heat transfer properties. The 3D circular pipe was heated under a constant heat flux of 5000 W/m2. The validation results indicated that the SIMPLEC and PISO algorithms exhibited lower errors, while the SIMPLE and Coupled algorithms showed higher errors in predicting heat transfer. Furthermore, the use of 4 vol% nanofluid with the Coupled algorithm resulted in higher heat transfer and pressure loss increments of 9.3% and 8.6%, respectively.
No takes yet. Share an insight, caveat, or question.
Alawi et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: