Thermal analysis for entropy optimized flow of tangent hyperbolic nanomaterial with chemical reactions and Soret impacts
• Entropy generation for hydromagnetic tangent hyperbolic flow is addressed. • Ohmic heating and viscous dissipation are discussed. • Thermophoresis and random diffusion characteristics are discussed. • Soret and convection condition are considered. Mixed convective nanomaterial flow of tangent hyperbolic liquid is addressed. Thermal expression is deliberated by magnetohydrodynamics and dissipation. Thermophoresis and random diffusion characteristics are under consideration. Additionally, the Soret and Dufour outcomes in presence of reaction is considered. Entropy generation calculation is carried out. The resulting nonlinear partial differential problems are computed through Newton built in-shooting technique. Analysis of flow, concentration distribution, entropy rate and thermal distribution via influential variables is examined. Computational results for Nusselt number, skin friction coefficient and solutal transport rate versus emerging variables are addressed. Larger magnetic variable has reverse trend for velocity and thermal distribution. Entropy rate is improved via larger Weissenberg and Brinkman numbers. Larger thermophoresis variable lead to temperature enhancement. Higher approximation of Soret number argument the concentration distribution. Larger buoyancy ratio variable corresponds to flow enhancement. Larger Dufour number result in Nusselt number enhancement.
Authors
- Aneeta Razaq (ORCID: https://orcid.org/0009-0000-1436-6554)
- Tasawar Hayat (ORCID: https://orcid.org/0000-0001-5952-4106)
- Sohail A. Khan (ORCID: https://orcid.org/0000-0002-6174-4455)
- Reena Tubbsam
Institutions
- Macau University of Science and Technology (MO)
- Quaid-i-Azam University (PK)
- Pakistan Academy of Sciences (PK)
Publication Details
- Journal
- Results in Engineering
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1016/j.rineng.2025.104295
- Citations
- 1
- Primary Topic
- Nanofluid Flow and Heat Transfer
- Type
- article
- Field-Weighted Citation Impact
- 0.67