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Bidirectional bioconvective flow of Casson–micropolar nanofluid due to porous Riga surface with heat generation effects

Aaqib MajeedDepartment of Mathematics, The University of Faisalabad 1 , Sargodha Road, University Town Faisalabad 38000,Sami Ullah KhanDepartment of Mathematics, Namal University 2 , Mianwali 42250,Tasawar AbbasDepartment of Mathematics, University of Wah 3 , Wah Cantt 47040,M. Ijaz KhanDepartment of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University 4 , Al-Khobar,Barno Sayfutdinovna AbdullaevaDepartment of Mathematics and Information Technologies, Vice-Rector for Scientific Affairs, Tashkent State Pedagogical University 5 , Tashkent,Emad A. A. IsmailDepartment of Quantitative Analysis, College of Business Administration, King Saud University 6 , P.O. Box 71115, Riyadh 11587,Fuad A. AwwadDepartment of Quantitative Analysis, College of Business Administration, King Saud University 6 , P.O. Box 71115, Riyadh 11587,
AIP Advancesjournal2024en
ABI

Аннотация

The heat and mass transfer phenomenon due to non-Newtonian nanofluids presents essential applications in various industrial and engineering processes like polymer solutions, manufacturing processes, food processing, pharmaceutical applications, extrusion processes, oil recovery, cooling systems, etc. In order to address the heat and mass transfer phenomenon, the suspension of nanofluids with different non-Newtonian materials has been studied. The objective of the current analysis is to endorse heat and mass transfer prediction due to a Casson–micropolar nanofluid over a bidirectional moving electromagnetic Riga surface. The suspension of micro-organisms is also utilized to predict the significant applications of the bioconvection phenomenon. The investigated analysis is supported with an external heat generation source and activation energy. The enhancement and fluctuation in heat transfer are captured with the addition of thermal radiation impact. The thermal, concentration, and velocity slip effects are utilized to investigate the thermal phenomenon. The shooting algorithm is applied for calculating the numerical simulations. The physical onset behind the variation of parameters is tested and claimed graphically. Current results offer applications in the heat transfer phenomenon, energy systems, solar collectors, manufacturing processes, cooling systems, thermal processes, automotive engineering, etc.

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