Applied Mathematics, Computational Mathematics, Fluid Flow and Transfer Processes
46
Scopus Publications
3815
Scholar Citations
35
Scholar h-index
47
Scholar i10-index
Scopus Publications
Optimal usage of solar energy in cylindrical film flow of Prandtl ferrofluid: a relative analysis of Hamilton-Crosser and Xue nano models N. Sandeep, S. Lingamurthy, K. Anantha Kumar Multidiscipline Modeling in Materials and Structures, 2026 Purpose The study aims to investigate the heat transfer performance of cobalt–water-based Prandtl ferrofluids, examining the effects of nanoparticle interactions, fluid non-Newtonian behavior, nonlinear heat generation and modified thermal flux. The goal is to identify the model that most accurately predicts effective thermal conductivity and enhanced energy transport. Design/methodology/approach A computational exploration is executed to investigate the heat convection in the cylinder-shaped film movement of Prandtl ferrofluid. Water is measured as a base liquid and embedded with cobalt (Co) nanoparticles. A proportional examination is accomplished by pondering the Hamilton-Crosser (H-C) and Xue nano models. In the appearance of hydrodynamics, nonlinear heat and modified thermal flux effects, a classical scientific theory is recognized. Numerical outcomes are obtained through Matlab’s bvp5c solver and discussed with the assistance of pictorial representations. Findings The Xue nanofluid model predicts a higher effective thermal conductivity compared to the H-C model, reflecting its improved representation of nanoparticle interactions and shape effects. The Prandtl-type ferrofluid containing water–cobalt nanoparticles demonstrates superior heat transfer performance, owing to its non-Newtonian rheology, which enhances energy transport without significantly increasing flow resistance. Overall, the Xue model indicates a higher rate of heat transfer, making this analysis directly relevant for optimizing thermal efficiency in parabolic trough solar collector (PTSC) systems. Originality/value This work introduces a computational analysis of heat transfer in Prandtl-type ferrofluid film flow within a cylindrical setup using cobalt–water nanofluids. Comparing H-C and Xue models, it highlights nonlinear thermal effects and shows the Xue model’s superior conductivity, aiding the optimization of PTSC performance.
A New Heat Flux Model for MHD Shear Thickening Fluid Flow Past a Cylinder With Radiation and Variable Heat Source/Sink Kempannagari Anantha Kumar, Buruju Ramoorthy Reddy, Ankalagiri Chinna Venkata Ramudu Heat Transfer, 2025 The prime aim of the current investigation is to examine the magnetohydrodynamic flow of shear‐thickening liquid subjected to the stretching of an extended cylinder in the ubiquity of a porous medium. A new typical heat flux ideal is used, including the effects of thermal radiative heat, convection, irregular heat generation or absorption, and Joule heating. By employing the similarity transmutations, the governing equations are reduced to nonlinear ODEs and solved using the R.K.‐based shooting technique. Results are analyzed with graphs to assess the impact of parameters on the flow. The reduction in fluid temperature due to the thermal relaxation parameter suggests its potential application in cooling technologies, such as advanced heat exchangers, microchannel cooling, and industrial cooling systems, where precise thermal management is crucial. The higher heat transport rate with increased thermal stratification and radiation parameters indicates potential benefits in solar energy applications, such as solar collectors and thermal storage systems, where maximizing heat transfer efficiency is essential for improved energy capture and utilization.
Estimating the prevalence of hypocalcemia in adults presenting with new-onset seizures: A cross-sectional study Sharan Bose, K. V. Rajalakshmi, P. K. Anantha Kumar, Bhuvaneshwar, Jibin Simon, et al. Romanian Medical Journal, 2024 Background. Approximately 8% to 10% of the population will experience a seizure during their lifetime. Only about 2% to 3% of patients go on to develop epilepsy. Common metabolic causes include hypoglycemia, hyperglycemia, hyponatremia, hypocalcemia, hypomagnesemia, etc. Hypocalcemia in particular is often implicated in neonates and younger children. The present study was aimed at estimating the prevalence of hypocalcemia in adults (>18 years of age) presenting with new onset seizures. Material and methods. Our study was a cross-sectional, prospective, observational study, conducted in patients aged more than 18 years of age of either sex who presented with at least 1 episode of acute (<24 hours) new onset seizures. A total of 72 patients were included in the study, who satisfied the inclusion and exclusion criteria. Venous blood was collected in a red top plastic tube, containing no anticoagulants and used for laboratory testing. Results. During the study period, 72 patients with new-onset seizures were considered for the present study. The mean age of the study population was 44.73±12.45 years. The mean serum calcium level was 8.13±0.53 mg/dL. Serum calcium level less than 8.5 mg/dL was noted in 32 cases (44.44 %). A level in the normal range (8.5-10 mg/dl) was noted in 40 patients (55.56 %). A serum albumin level of less than 3 gm % was noted in 7 patients (9.72 %). The mean corrected serum calcium level was 8.23±0.71 mg/dL. Among 72 patients, a corrected serum calcium level of less than 8.5 mg/dL was noted in 31 cases. Thus, the prevalence of hypocalcemia in adults presenting with new-onset seizures was 43.05%. There was no significant difference noted for age and gender among hypocalcemic and normocalcemic cases (p>0.05). Conclusion. In patients presenting with new onset seizures, the prevalence of hypocalcemia was found to be 43%. Further studies are required to prove definite causality. However, we recommend checking serum calcium levels, along with the other electrolytes for all patients presenting with new onset seizures and correcting them as required.
Signal to Image Conversion and Convolutional Neural Networks for Physiological Signal Processing: A Review K. E. Ch Vidyasagar, K. Revanth Kumar, G. N. K. Anantha Sai, Munagala Ruchita, Manob Jyoti Saikia IEEE Access, 2024 Physiological signals obtained from electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG) provide valuable clinical information but pose challenges for analysis due to their high-dimensional nature. Traditional machine learning techniques, relying on hand-crafted features from fixed analysis windows, can lead to the loss of discriminative information. Recent studies have demonstrated the effectiveness of deep convolutional neural networks (CNNs) for robust automated feature learning from raw physiological signals. However, standard CNN architectures require two-dimensional image data as input. This has motivated research into innovative signal-to-image (STI) transformation techniques to convert one-dimensional time series into images preserving spectral, spatial, and temporal characteristics. This paper reviews recent advances in strategies for physiological signal-to-image conversion and their applications using CNNs for automated processing tasks. A systematic analysis of EEG, EMG, and ECG signal transformation and CNN-based analysis techniques spanning diverse applications, including brain-computer interfaces, seizure detection, motor control, sleep stage classification, arrhythmia detection, and more, are presented. Key insights are synthesized regarding the relative merits of different transformation approaches, CNN model architectures, training procedures, and benchmark performance. Current challenges and promising research directions at the intersection of deep learning and physiological signal processing are discussed. This review aims to catalyze continued innovations in effective end-to-end systems for clinically relevant information extraction from multidimensional physiological data using convolutional neural networks by providing a comprehensive overview of state-of-the-art techniques.
Effect of electromagnetic induction on the heat transmission in engine oil-based hybrid nano and ferrofluids: A nanotechnology application K. Anantha Kumar, N. Sandeep, S.P. Samrat, G.P. Ashwinkumar Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2023 This analysis investigates the control of electromagnetic induction over the flow and heat transmission in shear-thickening hybrid nano and ferrofluids for cooling/heating applications. The stream is time-free and not turbulent. The leading equations are equipped with buoyancy, irregular heat sink/source, and thermic heat effects. The transformed, resulting equalities are resolved with the help of the bvp5c package. Twin expositions are discussed for the hybrid nano (engine oil (EO) + aluminum oxide (Al2O3) + titanium dioxide (TiO2)) and hybrid ferro (EO + iron oxide (Fe3O4) + cobalt ferrite (CoFe2O4)) cases. Numerical momentum, magnetic induction, and thermal profiles are obtained via graphical illustrations. Also, the tables present the friction factor and the measure of thermic transport. It divulges from consequences that the hybrid ferrofluids have a more conducive rate than hybrid nanoliquids, and the Nusselt number shrinks for uneven heat sink/source constraint values. Also, electromagnetic induction controls hybrid ferroliquid more than hybrid nanofluids. The prime application of the current research glimpsed in engineering practices viz. metal extrusion, synthetic fiber, microfluidics, glass fiber manufacture, etc.
Application of heat transfer on MHD shear thickening fluid flow past a stretched surface with variable heat source/sink A. C. Venkata Ramudu, K. Anantha Kumar, V. Sugunamma Heat Transfer, 2023 The purpose of this study is to explore the viscous dissipation stimulus on the steady convective magnetohydrodynamic shear thickening liquid stream across a vertically stretched sheet. The impact of thermic heat, first‐order velocity slip, and variable heat generation/absorption are considered and also ignored the effect of magnetic Reynold's number. We converted flow controlling equations into the set of dimensionless nonlinear ordinary differential equations by employing similarity variables to solve these coupled equations by R–K and shooting technique. The effect of different dimensionless variables on velocity, heat, friction factor, and local Nusselt numbers are presented through graphs and tables. Depreciation in velocity and growth in temperature distribution is detected when the Casson fluid parameter is increased. Temperature is the increasing function of the Eckert number.
Influence of non uniform heat source/sink on MHD nano fluid flow past a slendering stretching sheet with slip effects Global Journal of Pure and Applied Mathematics, 2016
RECENT SCHOLAR PUBLICATIONS
Significance of nanolayers in enhanced thermal conductivity of nanofluid: an application for solar energy optimization N Sandeep, S Lingamurthy, S Shukla, K Anantha Kumar Journal of Thermal Analysis and Calorimetry, 1-13 , 2026 2026 Citations: 1
MHD Cattaneo-Christove flow of Casson nanofluid over a porous surface: A solar application KA Kumar, BR Reddy, ACV Ramudu Modern Physics Letters B 39 (35), 2550231 , 2025 2025 Citations: 15
Optimal usage of solar energy in cylindrical film flow of Prandtl ferrofluid: A relative analysis of Hamilton-Crosser and Xue nanomodels KAK N. Sandeep, S. Lingamurthy Multidiscipline Modeling in Materials and Structures , 2025 2025 Citations: 3
Influence of variable viscosity on 3-D MHD radiative cross nanofluid flow over a biface region K Anantha Kumar, V Sugunamma, N Sandeep Waves in Random and Complex Media 35 (5), 9314-9329 , 2025 2025 Citations: 36
A New Heat Flux Model for MHD Shear Thickening Fluid Flow Past a Cylinder With Radiation and Variable Heat Source/Sink K Anantha Kumar, B Ramoorthy Reddy, AC Venkata Ramudu Heat Transfer 54 (5), 3366-3373 , 2025 2025 Citations: 22
Analysis of nanomodels for nanofluid flow over a curved region with MXene (Ti3C2) N Rathore, KA Kumar, N Sandeep Journal of Thermal Analysis and Calorimetry 150 (3), 1711–1718 , 2025 2025 Citations: 44
A COMPUTATIONAL MODEL FOR THE DENSITY OF MOTILE MICRO-ORGANISMS IN THE CASSON FLUID FLOW WITH THERMAL RADIATION KA Kumar Journal of Naval Architecture and Marine Engineering 21 (1), 79 - 86 , 2024 2024 Citations: 33
Influence of melting heat transfer on MHD non-Newtonian fluid flow past a slendering surface KA Kumar JOURNAL OF XI'AN UNIVERSITY OF ARCHITECTURE & TECHNOLOGY 16 (3), 131-145 , 2024 2024
Effect of electromagnetic induction on the heat transmission in engine oil-based hybrid nano and ferrofluids: A nanotechnology application K Anantha Kumar, N Sandeep, SP Samrat, GP Ashwinkumar Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2023 2023 Citations: 76
Application of heat transfer on MHD shear thickening fluid flow past a stretched surface with variable heat source/sink AC Venkata Ramudu, K Anantha Kumar, V Sugunamma Heat Transfer 52 (2), 1161-1177 , 2023 2023 Citations: 18
Effect of non-linear thermal radiation on MHD Casson fluid flow past a stretching surface with chemical reaction K Anantha Kumar, AC Venkata Ramudu, V Sugunamma, N Sandeep International Journal of Ambient Energy 43 (1), 8400-8407 , 2022 2022 Citations: 58
Impact of Soret and Dufour on MHD Casson fluid flow past a stretching surface with convective–diffusive conditions: AC Venkata Ramudu et al. AC Venkata Ramudu, K Anantha Kumar, V Sugunamma, N Sandeep Journal of Thermal Analysis and Calorimetry 147 (3), 2653-2663 , 2022 2022 Citations: 132
Impact of Soret and Dufour on MHD mixed convective flow of non‐Newtonian fluid over a coagulated surface RR Buruju, AK Kempannagari, R Bujula Heat Transfer 50 (8), 8243-8258 , 2021 2021 Citations: 31
Role of machine learning and their effect on business management in the world today VP Sriram, K Lakshmi, V Podile, M Naved, K Kumar Vidyabharati International Interdisciplinary Research Journal, 369-374 , 2021 2021 Citations: 7
Heat and mass transfer in MHD Casson nanofluid flow past a stretching sheet with thermophoresis and Brownian motion AC Venkata Ramudu, K Anantha Kumar, V Sugunamma, N Sandeep Heat Transfer , 2020 2020 Citations: 96
Physical aspects on MHD micropolar fluid flow past an exponentially stretching curved surface KA Kumar, V Sugunamma, N Sandeep, S Sivaiah Defect and diffusion forum 401, 79-91 , 2020 2020 Citations: 42
Effect of thermal radiation on MHD Casson fluid flow over an exponentially stretching curved sheet K Anantha Kumar, V Sugunamma, N Sandeep Journal of Thermal Analysis and Calorimetry 140 (5), 2377-2385 , 2020 2020 Citations: 365
Effect of Joule heating on MHD non‐Newtonian fluid flow past an exponentially stretching curved surface AK Kempannagari, RR Buruju, S Naramgari, S Vangala Heat Transfer , 2020 2020 Citations: 92
Effect of asymmetrical heat rise/fall on the film flow of magnetohydrodynamic hybrid ferrofluid I Tlili, MT Mustafa, KA Kumar, N Sandeep Scientific reports 10 (1), 6677 , 2020 2020 Citations: 87
THERMOPHORESIS AND BROWNIAN MOTION EFFECTS ON MHD MICROPOLAR NANOFLUID FLOW PAST A STRETCHING SURFACE WITH NON-UNIFORM HEAT SOURCE/SINK KA Kumar, V Sugunamma, N Sandeep Computational Thermal Science 12 (1), 55-77 , 2020 2020 Citations: 54
MOST CITED SCHOLAR PUBLICATIONS
Effect of thermal radiation on MHD Casson fluid flow over an exponentially stretching curved sheet K Anantha Kumar, V Sugunamma, N Sandeep Journal of Thermal Analysis and Calorimetry 140 (5), 2377-2385 , 2020 2020 Citations: 365
Magnetohydrodynamic Cattaneo-Christov flow past a cone and a wedge with variable heat source/sink KA Kumar, JVR Reddy, V Sugunamma, N Sandeep Alexandria engineering journal 57 (1), 435-443 , 2018 2018 Citations: 281
Influence of viscous dissipation on MHD flow of micropolar fluid over a slendering stretching surface with modified heat flux model K Anantha Kumar, V Sugunamma, N Sandeep Journal of Thermal Analysis and Calorimetry 139 (6), 3661-3674 , 2020 2020 Citations: 228
Impact of Non-linear Radiation on MHD Non-aligned Stagnation Point Flow of Micropolar Fluid Over a Convective Surface KA Kumar, V Sugunamma, N Sandeep Journal of Non-Equilibrium Thermodynamics 43 (4), 327-345 , 2018 2018 Citations: 190
Simultaneous solutions for first order and second order slips on micropolar fluid flow across a convective surface in the presence of Lorentz force and variable heat source/sink KA Kumar, V Sugunamma, N Sandeep, MT Mustafa Scientific reports 9 (1), 14706 , 2019 2019 Citations: 186
Effect of irregular heat source/sink on the radiative thin film flow of MHD hybrid ferrofluid K Anantha Kumar, N Sandeep, V Sugunamma, IL Animasaun Journal of Thermal Analysis and Calorimetry 139 (3), 2145-2153 , 2020 2020 Citations: 185
Impact of Soret and Dufour on MHD Casson fluid flow past a stretching surface with convective–diffusive conditions: AC Venkata Ramudu et al. AC Venkata Ramudu, K Anantha Kumar, V Sugunamma, N Sandeep Journal of Thermal Analysis and Calorimetry 147 (3), 2653-2663 , 2022 2022 Citations: 132
Magnetohydrodynamic mixed convective flow of micropolar fluid past a stretching surface using modified Fourier’s heat flux model B Ramadevi, K Anantha Kumar, V Sugunamma, JVR Reddy, N Sandeep Journal of Thermal Analysis and Calorimetry, 1-15 , 2020 2020 Citations: 127
Effect of cross diffusion on MHD non-Newtonian fluids flow past a stretching sheet with non-uniform heat source/sink: A comparative study JVR Reddy, KA Kumar, V Sugunamma, N Sandeep Alexandria engineering journal 57 (3), 1829-1838 , 2018 2018 Citations: 123
Physical aspects on unsteady MHD‐free convective stagnation point flow of micropolar fluid over a stretching surface K Anantha Kumar, V Sugunamma, N Sandeep Heat Transfer—Asian Research , 2019 2019 Citations: 111
Heat and mass transfer in MHD Casson nanofluid flow past a stretching sheet with thermophoresis and Brownian motion AC Venkata Ramudu, K Anantha Kumar, V Sugunamma, N Sandeep Heat Transfer , 2020 2020 Citations: 96
Effect of Joule heating on MHD non‐Newtonian fluid flow past an exponentially stretching curved surface AK Kempannagari, RR Buruju, S Naramgari, S Vangala Heat Transfer , 2020 2020 Citations: 92
MHD flow of chemically reacting Williamson fluid over a curved/flat surface with variable heat source/sink KA Kumar, JVR Reddy, S Vangala, N Sandeep International Journal of Fluid Mechanics Research , 2019 2019 Citations: 90
Simultaneous solutions for MHD flow of Williamson fluid over a curved sheet with nonuniform heat source/sink KA Kumar, JVR Reddy, V Sugunamma, N Sandeep Heat Transfer Research 50 (6), 581-603 , 2019 2019 Citations: 88
Effect of asymmetrical heat rise/fall on the film flow of magnetohydrodynamic hybrid ferrofluid I Tlili, MT Mustafa, KA Kumar, N Sandeep Scientific reports 10 (1), 6677 , 2020 2020 Citations: 87
Impact of Brownian motion and thermophoresis on bioconvective flow of nanoliquids past a variable thickness surface with slip effects A Kumar K., S V., S N., RR J.V. Multidiscipline Modeling in Materials and Structures 15 (1), 103-132 , 2019 2019 Citations: 86
Numerical Exploration of MHD Radiative Micropolar Liquid Flow Driven by Stretching Sheet with Primary Slip: A Comparative Study KA Kumar, V Sugunamma, N Sandeep Journal of Non-Equilibrium Thermodynamics , 2018 2018 Citations: 79
MHD Carreau fluid flow past a melting surface with Cattaneo-Christov heat flux K Anantha Kumar, JV Ramana Reddy, V Sugunamma, N Sandeep Applied Mathematics and Scientific Computing, 325-336 , 2019 2019 Citations: 78
Effect of electromagnetic induction on the heat transmission in engine oil-based hybrid nano and ferrofluids: A nanotechnology application K Anantha Kumar, N Sandeep, SP Samrat, GP Ashwinkumar Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2023 2023 Citations: 76
A non‐Fourier heat flux model for magnetohydrodynamic micropolar liquid flow across a coagulated sheet KA Kumar, V Sugunamma, N Sandeep Heat Transfer—Asian Research , 2019 2019 Citations: 74