Faculty Publications
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Item Control force and inertial migration in Poiseuille flow: a computational study(Taylor and Francis Ltd., 2023) Neeraj, M.P.; Maniyeri, R.The present work deals with the development of a numerical model to analyze the effect of control force on a single rigid massive cylindrical particle’s lateral migration in a straight channel. The finite volume immersed boundary method (feedback forcing-based), along with semi-implicit strategy, is incorporated to create a computational model. The control force is applied in the direction against the fluid flow, to control the equilibrium position and drive it to the channel center. The effect of the Reynolds number, particle diameter and density ratio on the control force is studied. From parametric studies, a prediction model is developed for the control force with the Reynolds number, particle diameter and density ratio as inputs. The linear regression methodology in machine learning is utilized to create the prediction model. The predicted values of control force are observed to match those of the simulation results. © 2023 Taylor & Francis Group, LLC.Item Lateral migration of cylindrical particle in a constricted microchannel—A numerical study(John Wiley and Sons Inc, 2023) Neeraj, M.P.; Maniyeri, R.Inertial migration of a single cylindrical particle in a constricted microchannel is addressed in this work. A computational model (two-dimensional) has been constructed with the assistance of the immersed boundary finite volume method. The feedback forcing strategy is utilized for the simulation of lateral migration. The parameters like equilibrium position, migration time, and shortest equilibrium distance are computed to analyze the inertial migration characteristics of the particle. Also, a comprehensive parametric study has been performed on the migration behaviour of particles inside the constricted channel by addressing the effects of Reynolds number, diameter, initial release position, and constriction clearance. The parametric study shows that the equilibrium position changes with variations in the initial release position and particle diameter. On the other hand, it stays unaffected by changes in Reynolds number and constriction clearance. The parameters like the shortest equilibrium distance and migration time increase with a rise in Reynolds number and particle diameter. On the other hand, it reduces with the reduction in constriction clearance. Inspired by the parametric study results, in the following stage, a prediction model is created with an artificial neural network algorithm. This is used for an effective forecast of equilibrium position, migration time, and shortest equilibrium distance. Further, the computational model is utilized to check for the existence of a critical Reynolds number for the particle movement in a constricted microchannel. It is observed that the critical Reynolds number remains unchanged with a change in particle diameter. However, it increases linearly with an increase in constriction clearance. © 2022 Canadian Society for Chemical Engineering.Item Lateral Migration of Variously Shaped Particles: A Computational Study(John Wiley and Sons Inc, 2023) Neeraj, M.P.; Maniyeri, R.The current work deals with the simulation of lateral migration of differently shaped particles in a straight channel through which fluid flows with a Poiseuille pattern of flow. The immersed boundary method based on feedback force is adopted for the current work. The equilibrium positions and migration times for circular, elliptical, rectangular, square, and biconcave particles are studied and presented. The cases of neutral and massive (high ratio of particle density to fluid density) particles are presented, and in both scenarios the biconcave particle attains its equilibrium position closest to the bottom wall and the elliptical particle acquires its equilibrium position closest to the channel center. Also, the migration time is highest for the biconcave particle, whereas it is lowest for the rectangular particle. © 2023 Wiley-VCH GmbH.Item Inertial migration and control force in pulsatile flow- a computational study(Taylor and Francis Ltd., 2024) Neeraj, M.P.; Maniyeri, R.The current work proposes a numerical model for analysing the inertial migration of cylindrical-shaped rigid particles in pulsatile flow. The particle is non-neutrally buoyant, and the numerical model is built using a feedback forcing-based immersed boundary scheme. For shifting particle equilibrium position towards the channel centre, an opposing flow control force is applied. The relationship between control force and parameters such as particle diameter, Reynolds number, and density ratio is thoroughly investigated and reported here. The magnitude of the control force increases with Reynolds number and decreases with particle diameter. With density ratio, on the other hand, the magnitude of the control force first drops and then rises. Based on the results of the parametric study a prediction model for the control force is developed with the help of a linear regression algorithm. © 2024 Indian Institute of Chemical Engineers.