Computational analysis of ternary nanofluid flow in a microchannel with nonuniform heat source/sink and waste discharge concentration

Abstract

AbstractThe investigation of waste discharge concentration with microchannel plays a significant impact on environmental applications. Microchannels are utilized in treatment facilities for wastewater to manage the concentration of pollutants and impurities. Effective waste treatment and pollution control techniques may be created by investigating waste material's fluid flow and dispersion in microchannels. In view of the above applications, the present investigation examines the electrically conducting and incompressible ternary hybrid nanofluid movement in a microchannel with a nonuniform heat source/sink and waste discharge concentration. The governing equations are converted into a system of ordinary differential equations using appropriate similarity constraints, and the resulting equations are numerically solved using the RKF-45 (Runge Kutta Fehlberg 4th and 5th) method. The effects of different nondimensional limitations are visually displayed and thoroughly explored on flow patterns, heat distribution, and concentration profiles. The analysis is done on important engineering variables such as skin friction, heat transfer rate, and mass transfer. Magnetic and porous media shape factors directly influenced the velocity and temperature profiles. These two factors will decline the velocity and improve the temperature. Further, the improvement in local and external pollutant concentration will improve the concentration of the fluid. The rate of mass transfer improves with increasing the local external source constraint. The present work outcomes are helpful in heat exchangers, pollution control, microfluidic chip devices, wastewater treatment, and energy conversion.Keywords: magnetic fieldmicrochannelnonuniform heat source/sinkpollutant concentrationternary nanofluid AcknowledgmentThe author would like to extend his appreciation to the Deanship of Scientific Research at King Khalid University, Saudi Arabia for funding this work through the Research Group Program under grant No. RGP.2/218/44.Author contributionsPlanning and Designing of the Manuscript: J. K. Madhukesh, K. Vinutha, and B. C. Prasannakumara. Performed the numerical calculation: Ioannis E. Sarris and J. K. Madhukesh. Analysis of the Data: K. Vinutha, Amal Abdulrahman, and J. K. Madhukesh. Review and Editing: B. C. Prasannakumara and Ioannis E. Sarris. Resources and Investigation: B. C. Prasannakumara, J. K. Madhukesh, and K. Vinutha. Formal analysis: K. Vinutha and Amal Abdulrahman. Proof reading: J. K. Madhukesh, B. C. Prasannakumara, and K. Vinutha. Supervision and Project administration: Ioannis E. Sarris and Amal Abdulrahman.Data availabilityAll data is available within the manuscript.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by Deanship of Scientific Research, King Khalid University.