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    <name>Article</name>
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          <name>Title</name>
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              <text>THE ANALYSIS OF THE FLOW OF BLOOD IN A STENOSED ARTERY THROUGH SIMULATION: A COMPARISON AMONG VARIOUS NON-NEWTONIAN MODELS</text>
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              <text>atherosclerosis; Coronary artery; low-density lipoprotein; rheology; stenosis</text>
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              <text>This paper focuses on the dual quality of blood, Newtonian and non-Newtonian, in particular by exploring the energy curves. Careful investigation of the dual property of blood has been made by considering two different geometries to represent a stenosed arterial segment. We present a cautious assessment of non-Newtonian blood rheology impacts in arterial stream simulations by coupling the Newtonian and non-Newtonian models. The flow of energy through the two flow dimensions is meticulously investigated using velocity (kinetic energy), pressure, and wall shear stress (pressure energy). Besides, the proper implementation of an interface boundary condition (IBC) was emphasized to ensure consistency with the flow conditions downstream of a backward-facing step. The integration of the Newtonian and non-Newtonian models adjoins the novelty of the current research. The energy curves are obtained by implementing five different non-Newtonian models to designate a suitable non-Newtonian model for blood flow investigations. The combination of the non-Newtonian models enforced in this research is novel and particular attention is paid to the energy curves obtained. The conclusion was to elect the Carreau model as a suitable non-Newtonian rheological model for the blood flow study. This study was able to finalize the fact that the coupling of Newtonian and non-Newtonian models is necessary to obtain accurate results. For the sinusoidal waveform considered for the velocity, Carreau and the Power law models yield better results, eliminating the other non-Newtonian models from the list. With a better inlet condition imposed in the form of the Fourier series for pressure and velocity, the Carreau model yields the best results.   2024 World Scientific Publishing Company.</text>
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              <text>Shankar Narayan S.; Bhattacharjee A.; Saha S.; Puneeth V.; Singhal A.; Sayfutdinovna Abdullaeva B.</text>
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              <text>Journal of Mechanics in Medicine and Biology, Vol-24, No. 7</text>
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              <text>World Scientific</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1142/S0219519424500106" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S0219519424500106&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190509791&amp;amp;doi=10.1142%2FS0219519424500106&amp;amp;partnerID=40&amp;amp;md5=742f3de56539673d3d091d941a34dc7e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190509791&amp;amp;doi=10.1142%2fS0219519424500106&amp;amp;partnerID=40&amp;amp;md5=742f3de56539673d3d091d941a34dc7e&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 2195194</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Shankar Narayan S., Department of Mathematics and Statistics, Ramaiah University of Applied Sciences, Bengaluru, 560058, India; Bhattacharjee A., Department of Mathematics, Dayananda Sagar University, Bengaluru, 560058, India; Saha S., Department of Mathematics, Vellore Institute of Technology, Vellore, 632014, India; Puneeth V., Department of Computational Science, CHRIST (Deemed to be University), Ghaziabad, 201003, India; Singhal A., Department of Computational Science, CHRIST (Deemed to be University), Ghaziabad, 201003, India; Sayfutdinovna Abdullaeva B., Doctor of Pedagogical Sciences, Vice-Rector for Scientific Affairs, Tashkent State Pedagogical University, Tashkent, Uzbekistan</text>
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