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Mass Transfer of MHD Nanofluid in Presence of Chemical Reaction on A Permeable Rotating Disk with Convective Boundaries, Using Buongiorno's Model

Muhammad Shoaib Arif 1, *, Yasir Nawaz1, Mairaj Bibi2, Zafar Ali1

Department of Mathematics, Air University, PAF Complex E-9, Islamabad, 44000, Pakistan.
Department of Mathematics, Comsats University, Park Road Chak Shahzad Campus, Islamabad, 44000, Pakistan.
*Corresponding Author: Muhammad Shoaib Arif. Email: shoaib.arif@mail.au.edu.pk.

Computer Modeling in Engineering & Sciences 2018, 116(1), 31-49. https://doi.org/ 10.31614/cmes.2018.00434

Abstract

This communiqué is opted to study the flow of nanofluid because of heated disk rotation subjected to the convective boundaries with chemical reaction of first order. Wherein Buongiorno’s model for nanofluids is used due to its wide range of applications and the rotating disk under investigation is permeable. Small magneto Reynolds parameter and boundary layer assumptions are carried out to formulate the problem. The system of nonlinear partial differential equations governing the flow problem is converted into the set of ordinary differential equations by using particular relations known as Von Karman transformations. The complicated set of coupled ordinary differential equations with complicated boundary conditions is set to solve by an analytical technique Homotopy Analysis Method (HAM). Whereby the results obtained by the aforementioned method are provided analytically and analyzed graphically. Also validation of the work is confirmed by providing comparison of previous works in tabular form. Effect of chemical reaction parameter on mass transfer rate is also highlighted tabularly for its increament. Nusselt and Sherwood numbers calculated and compared to the like literature and found in good agreement.

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Cite This Article

Arif, M. S., Nawaz, Y., Bibi, M., Ali, Z. (2018). Mass Transfer of MHD Nanofluid in Presence of Chemical Reaction on A Permeable Rotating Disk with Convective Boundaries, Using Buongiorno's Model. CMES-Computer Modeling in Engineering & Sciences, 116(1), 31–49. https://doi.org/ 10.31614/cmes.2018.00434



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