Multiple linear regression on bioconvective MHD hybrid nanofluid flow past an exponential stretching sheet with radiation and dissipation effects. (June 2022)

• Record Type: Journal Article
• Authors: Neethu, T.S.; Sabu, A.S.; Mathew, Alphonsa; Wakif, A.; Areekara, Sujesh
• Is Part Of: International communications in heat and mass transfer. Volume 135(2022)
• Publication Date: 2022-06
• Subjects: Exponential stretching surface -- Hybrid nanofluid -- Radiation -- Viscous dissipation -- Chemical reaction -- Bioconvection; Heat -- Transmission -- Periodicals; Mass transfer -- Periodicals; Chaleur -- Transmission -- Périodiques; Transfert de masse -- Périodiques; Heat -- Transmission; Mass transfer; Periodicals; 621.4022
• DOI: 10.1016/j.icheatmasstransfer.2022.106115
• Languages: English
• ISSNs: 0735-1933

Abstract

Abstract: The flow past a stretching sheet has been explored by many scientists for its application in metal spinning, drawing of plastic films, glass blowing, crystal growing, and cooling of filaments. In addition, the presence of microorganisms enhances the stability of the fluid that plays a significant role in biotechnology, bio-microsystems, and bio-nano coolant systems. Therefore, the dynamics of bioconvective MHD hybrid nanofluid ( TiO 2 and Ag in water) flow over an exponentially stretching permeable surface considering thermal radiation, heat generation, chemical reaction, porosity, and dissipative effects has been investigated. Apposite similarity variables are applied in transforming the modeled PDEs into a system of nonlinear ODEs and are then solved utilizing the finite-difference based bvp5c algorithm. It is observed that an increase in the porosity parameter ascends the temperature and descends the velocity. It is also noted that the temperature profile is proportional to augmentations in radiation parameter, magnetic field parameter, Eckert number, and volume fraction of TiO 2 and Ag nanoparticles. The mass transfer rate and the motile density number increase with mounting values of chemical reaction parameter. Further, multiple linear regression has been utilized to statistically scrutinize the effect of pertinent parameters on drag coefficient and heat transfer rate.