Faculty Publications

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  • Item
    Estimation of Breast Tumor Parameters by Random Forest Method with the Help of Temperature Data on the Surface of the Numerical Breast Model
    (Springer Science and Business Media Deutschland GmbH, 2023) Venkatapathy, G.; Rahul, V.M.; Gnanasekaran, N.
    The second most frequent reason for cancer-related fatalities in women is breast cancer. When a condition is identified early, better treatment choices are available. Different temperature patterns are seen on the breast surface due to the tumors, which change blood perfusion rate and metabolic heat production. Thermography is an infrared imaging technology for breast cancer screening that records temperature variations. The temperature dataset on the surface of the breast that corresponded to the tumor’s diameter and the location was needed for the current study, but such actual data are not accessible. Thus, the modeling and development of a dataset constitute the initial component of the current study. The bio-heat transport equation is solved using COMSOL multiphysics software, and the model consists of a spherical tumor inside of a hemispherical breast model. By changing the sizes and positions of the tumor inside the breast during simulations, a reliable dataset is created. The training and testing of the dataset produced from the simulations using the random forest method make up the second portion of the current study. Breast skin temperature is used as an input in a random forest machine learning algorithm in the current work to determine the diameter and location of the tumor inside the breast. The diameter and area of the tumor location are estimated by a trained random forest algorithm. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Effect of Geometric Parameters on Steady-State Supersonic Film Cooling of the Basic Conical Rocket Nozzle
    (Springer Science and Business Media Deutschland GmbH, 2024) Rahul, V.M.; Gnanasekaran, N.
    The current study proposes simulation results of supersonic film cooling of rocket nozzle by varying the geometric parameters. The study reveals that as the width of the injector opening for coolant injection was altered, the temperature variation trend near the walls differed based on the extent to which the width was increased or decreased. The results captured are shown in upcoming sections of this work. The second parameter varied was the angle of injection, where the variation of the cooling temperature after the injection point and the turbulence variation as a function of axial length were mainly focused. The temperature, turbulence, pressure, and density variation are also shown by varying the above parameters as a function of the axial length of the nozzle. The fluid used for primary and secondary flows was the air with different inlet and outlet pressures and temperatures as boundary conditions. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Closed-Loop Vector Formulation in Euler’s Complex Numbers for Multi-Loop Planar Mechanisms With N-bars: A Novel Modeling Approach and Algorithm
    (Defense Scientific Information and Documentation Centre, 2023) Rahul, V.M.; Bhaktha, B.S.; Gangadharan, K.V.
    This paper presents a novel iterative algorithm incorporated in a user-friendly GUI for modeling the kinematics of multiple looped N-bar closed-loop mechanisms. Past research works have used custom coding or expensive commercial software to analyze the mechanisms of specific applications. The proposed algorithm focuses on kinematics and offers a quick, easy-to-use, cost-effective solution to analyze a wide range of generic mechanisms, reducing the need for custom coding and lowering computational costs. The algorithm employs algebraic equations, such as solving complex closed-loop vector equations using the Euler form of complex numbers, to simulate and derive the unknowns necessary to characterise any generic closed-loop mechanism. The Python code implemented in the algorithm adapts to various scenarios by utilising available information on the position, velocity, and acceleration variables of the mechanisms. The simulation tool can display real-time color contour plots (RGB color scale) for linear and angular velocities and accelerations, simulate mechanisms with multiple loops and switch configurations, and find inverse mechanisms. The approach for solving multiple loop problems and the algorithm utilized to solve the configurations, methods, equations used and GUI features implementation are all described in this study. The case study considered for a four-bar mechanism indicates a strong agreement between the results obtained from the proposed kinematics-based simulator and ANSYS software. These results demonstrate the simulator’s effectiveness in providing low-cost and user-friendly simulation results for various generic mechanisms involving multiple interconnected loops. © 2023, DESIDOC.