Presenter Name: A.S. Ashwinth Jeffrey, M. Shanmugapriya and R. Sundareswaran
Submissionid: 200
Abstract
This research analyses how uncertainty in nanoparticle volume fractions affects the
energy and mass transport in the visco-elastic non-Newtonian Maxwell fluid flow
over a shifting wedge. The dual nanoparticle suspended mixtures are employed in
automotive and energy systems, offering amplified support for heat conduction. The
prominent nano-sized particles πΉπ3π4 & πππ2 are incorporated in our numerical
simulation, considering pivotal effects including electro-MHD & osmotic forces,
thermophoresis, activation energy, thermal radiation and Brownian motion. With the
above applications in mind, the uncertain volume fractions are studied as triangular
and trapezoidal fuzzy numbers to analyses their upshots on drag force, heat & mass
transport. In the numerical study the dimensionless variables are employed to
simplify the governing differential equations which are then altered to fuzzy
differential equations using the πΌΜ-cut method. The heat transfer rate of the present
hybrid mixture is computed numerically and compared. The dual nanoparticle
mixture exhibited improved fuzzy profiles for velocity, temperature and
concentration. The electro-MHD & osmotic forces were found to significantly
enhance the drag force, while the combined effects of Brownian motion and
thermophoresis led to a notable increase in heat transfer. Upon evaluating the
ππππΉππ’ππππ andπππππΉππ’ππππ, it was observed that the πππππΉππ’ππππ effectively
improved the accuracy and reliability of estimating the drag force, energy and mass
transport. The dual nanoparticle mixture (πΉπ3π4 + πππ2 /π΅ππππ) emerged as the
most thermally efficient, achieving an 8.15% higher heat transfer rate compared
to(πΉπ3π4/π΅ππππ), a 5.82% improvement over (πππ2/π΅ππππ) and a 6.91% increase
compared to the blood.
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