Browsing by Author "Ahammed, M."

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    A Computational Approach on Mitigation of Hotspots in a Microprocessor by Employing CNT Nanofluid in Bifurcated Microchannel
    (Institute for Ionics, 2024) Basha, S.M.M.; Ahammed, M.; Arumuga Perumal, D.; Yadav, A.
    The present study discusses the numerical analysis of mitigating hotspots in a microprocessor by employing nanofluid composed of carbon nanotubes (CNT) and water in a bifurcated microchannel. Fully developed laminar flow with water for different multi-stage bifurcated plate configurations is used for the computational study along with the conventional microchannel without bifurcation to determine the best possible configuration of bifurcated microchannel where further numerical investigation is carried out with CNT–water nanofluid. Numerical investigations are performed to evaluate the Nusselt number, temperature distribution, thermal resistance, pumping power, and streamline distribution for Reynolds Numbers varying from 70 to 560. Among all the bifurcated microchannels, the two-stage bifurcated microchannel shows the best thermal–hydraulic performance. So, the two-stage bifurcated microchannel is numerically studied with CNT–water nanofluid by varying the concentration from 1 to 5% where the bottom wall temperature significantly decreases along with desired uniform temperature distribution of the surface. It has been found that the average Nusselt number for a two-stage bifurcated microchannel with 5% CNT–water nanofluid is 43.54% higher than that of a two-stage bifurcated microchannel with water. There is a 9% decrement in thermal resistance against a 5% enhancement in pumping power using 1% CNT–water as coolant compared to that with only water in a two-stage bifurcated microchannel. Additionally, the influence of flow rate on multi-stage bifurcated microchannel combined with hotspots and studies involving varying intensities of hotspots along with their position in the microchannel are investigated. © King Fahd University of Petroleum & Minerals 2023.
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    Numerical study on temperature distribution during magnetic hyperthermia of different tumor tissues
    (Elsevier B.V., 2024) Ahammed, M.; Yadav, A.; Laxminidhi, T.
    In recent years, nanotechnology has made an invasion in biomedical applications which has gained much more attention because of its high efficiency and low side effects. One such application is magnetic hyperthermia (MHT) where magnetic nanoparticles (MNPs) are used to generate heat to kill the cancerous tissues over an alternating magnetic field. The heat generated by the nanoparticles is caused by hysteresis and Neel and Brownian relaxation. In this paper, a finite element method-based numerical modelling with the help of COMSOL is used to obtain temperature distribution on different tumor tissues (liver, lungs, and kidney) embedded with nanoparticles during magnetic hyperthermia by varying different magnetic field strengths (4000–6000 A/m), different frequencies (100–500 kHz) and different volume fractions of nanoparticles (0.1––0.5 %). Results show that at 500 kHz frequency, the temperature at the centre of the tumor is elevated marginally by 8 %, 4 %, and 2 % for the lungs, liver, and kidney respectively. Similarly, at 6000 A/m magnetic field strength, the temperature at the given point of tumor enhances moderately by 25 %, 14 %, and 8 % in the case of lungs, liver, and kidney respectively. The temperature at the same location increases majorly by 81 %, 45 %, and 20 % for the case of lungs, liver, and kidney respectively at 0.5 % volume fraction of nanoparticles. In the study, the effect of the volume fraction of nanoparticles on temperature rise is found to be more significant compared to other cases. The heat transfer rate is maximum in the lungs followed by the liver and kidney respectively. © 2024 Elsevier B.V.