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Entropy optimized flow of Sutterby nanomaterial subject to porous medium: Buongiorno nanofluid model

Shuguang LiSchool of Computer Science and Technology, Shandong Technology and Business University, Yantai, 264005, ChinaM. Ijaz KhanDepartment of Mathematics and Statistics, Riphah International University I-14, Islamabad 44000, PakistanAdel Bandar AlruqiDepartment of Physics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi ArabiaSami Ullah KhanDepartment of Mathematics, Namal University, Mianwali 42250, PakistanSherzod AbdullaevResearcher of Scientific Department, Tashkent State Pedagogical University Named After Nizami, Tashkent, UzbekistanBandar M. FadhlMechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, P. O. Box 5555, Makkah 21955, Saudi ArabiaBasim M. MakhdoumMechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, P. O. Box 5555, Makkah 21955, Saudi Arabia
Heliyonjournal2023en
ABI

Аннотация

Owing to enhanced thermal impact of nanomaterials, different applications are suggested in engineering and industrial systems like heat transfer devices, energy generation, extrusion processes, engine cooling, thermal systems, heat exchanger, chemical processes, manufacturing systems, hybrid-powered plants etc. The current communication concerns the optimized flow of Sutterby nanofluid due to stretched surface in view of different thermal sources. The investigation is supported with the applications of external heat source, magnetic force and radiative phenomenon. The irreversibility investigation is deliberated with implementation of thermodynamics second law. The thermophoresis and random movement characteristics are also studied. Additionally, first order binary reaction is also examined. The nonlinear system of the governing problem is obtained which are numerically computed by s method. The physical aspects of prominent flow parameters are attributed graphically. Further, the analysis for entropy generation and Bejan number is focused. It is observed that the velocity profile increases due to Reynolds number and Deborah number. Larger Schmidt number reduces the concentration distribution. Further, the entropy generation is improved against Reynolds number and Brinkman parameter.

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