Research Article Numerical Simulation of Dispersed Particle-Blood Flow in the Stenosed Coronary Arteries Mongkol Kaewbumrung , 1 Somsak Orankitjaroen , 1,2 Pichit Boonkrong, 3 Buraskorn Nuntadilok , 4 and Benchawan Wiwatanapataphee 5 1 Department of Mathematics, Faculty of Science, Mahidol University, Bangkok 10400, Tailand 2 Centre of Excellence in Mathematics, Commission of Higher Education (CHE), Bangkok 10400, Tailand 3 Department of Mathematics, College of Information and Communication Technology, Rangsit University, Pathum Tani 12000, Tailand 4 Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai 50290, Tailand 5 School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, Australia Correspondence should be addressed to Somsak Orankitjaroen; somsak.ora@mahidol.ac.th Received 14 March 2018; Revised 22 May 2018; Accepted 4 June 2018; Published 1 August 2018 Academic Editor: Peiguang Wang Copyright © 2018 Mongkol Kaewbumrung et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A mathematical model of dispersed bioparticle-blood fow through the stenosed coronary artery under the pulsatile boundary conditions is proposed. Blood is assumed to be an incompressible non-Newtonian fuid and its fow is considered as turbulence described by the Reynolds-averaged Navier-Stokes equations. Bioparticles are assumed to be spherical shape with the same density as blood, and their translation and rotational motions are governed by Newtonian equations. Impact of particle movement on the blood velocity, the pressure distribution, and the wall shear stress distribution in three diferent severity degrees of stenosis including 25%, 50%, and 75% are investigated through the numerical simulation using ANSYS 18.2. Increasing degree of stenosis severity results in higher values of the pressure drop and wall shear stresses. Te higher level of bioparticle motion directly varies with the pressure drop and wall shear stress. Te area of coronary artery with higher density of bioparticles also presents the higher wall shear stress. 1. Introduction Atherosclerosis is a disease narrowing a coronary artery due to plaque buildup. Generally, there is no symptom until it severely narrows the artery causing serious problems includ- ing heart attack, stroke, or even death. Critical information of blood fow in the stenotic coronary arteries is a principle factor of the development and progression of atherosclerosis. Figure 1 presents an angiogram of a critical proximal lef anterior descending artery (LAD) in a patient with Wellens’ syndrome. Atherosclerosis is ofen associated with some forms of abnormal blood fow in the blocked coronary arteries. Dealing with the pathogenesis of coronary artery dis- eases (CAD), various practical treatment of CAD including drug delivery, stent replacement, and coronary artery bypass grafing (CABG) have been developed through a number of in vivo and in vitro experiments. Due to the high rate of stent and graf failures, development of vascular drug delivery, one of the key rubrics of targeted therapeutics and nanodevices, becomes more and more important [1]. Recently, several drug delivery approaches are undergoing clinical testing and medical industry development. Over decades, many researchers have carried out experi- mental models and computational simulations to explore the fow phenomena in the stenotic arteries in order to optimize medical methods of treatment. Due to the difculty and limitation in determining the critical fow conditions for both in vivo and in vitro experiments, the exact mechanisms involving these treatments are not well understood. Tus, mathematical modelling and numerical simulation are cho- sen to be a better alternative to analyze the problem. Complex phenomena of blood fow in arteries subject to various physiological conditions has been extensively analyzed using various mathematical models [2–12]. Te fow phenomena Hindawi International Journal of Differential Equations Volume 2018, Article ID 2593425, 16 pages https://doi.org/10.1155/2018/2593425