Someshwar Ade

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Paul Woods

University College London

Mark Hammonds

The University of Tokyo

James Lamsdell

West Virginia University

Isabel Aleman

Universidade de São Paulo

Noah Brosch

Tel Aviv University

Luca Bombelli

University of Mississippi

Viacheslav Kuleshov

Stockholm University

Alan Garfinkel

California State University, Bakersfield

Patrick McCafferty

Universität Leipzig

Sergey A Khaibrakhmanov

Saint-Petersburg State University

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Papers by Someshwar Ade

3D computational investigation of heat transfer and entropy generation due to cryogenic cooling of twin heaters

Sādhanā, Dec 18, 2023

Application of deep learning and inline holography to estimate the droplet size distribution

arXiv (Cornell University), Mar 21, 2024

We examine five machine learning-based architectures to estimate the droplet size distributions o... more We examine five machine learning-based architectures to estimate the droplet size distributions obtained using digital inline holography. The architectures, namely, U-Net, R2 U-Net, Attention U-Net, V-Net, and Residual U-Net are trained using synthetic holographic images. Our assessment focuses on evaluating the training, validation, and prediction performance of these architectures. We found that U-Net and R2 U-Net to be the most proficient, displaying consistent performance trends and achieving the highest Intersection Over Union (IOU) scores compared to the other three architectures. We employ additional training using experimental holographic images for the two top-performing architectures to validate their efficacy further. Subsequently, they are employed to segment an experimental dataset illustrating the bag breakup phenomenon, facilitating the extraction of size distribution. The extracted size distribution from U-Net and R2 U-Net segmentation is then compared with the analytical model proposed by Jackiw and Ashgriz (2022) by employing the gamma and log-normal distributions. Our findings indicate that the gamma distribution provides a more accurate prediction of the multi-modal size distribution than the log-normal distribution owing to its long exponential tail. The present study

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Size distribution of a drop undergoing breakup at moderate Weber numbers

arXiv (Cornell University), Feb 23, 2023

Size distribution of a drop undergoing breakup at moderate Weber numbers

Journal of Fluid Mechanics

The size distribution of child droplets resulting from a dual-bag fragmentation of a water drop i... more The size distribution of child droplets resulting from a dual-bag fragmentation of a water drop is investigated using shadowgraphy and digital in-line holography techniques. It is observed that parent drop fragmentation contributes to the atomisation of tiny child droplets, whereas core drop disintegration predominantly results in larger fragments. Despite the complexity associated with dual-bag fragmentation, we demonstrate that it exhibits a bi-modal size distribution. In contrast, the single-bag breakup undergoes a tri-modal size distribution. We employ the analytical model developed by Jackiw & Ashgriz (J. Fluid Mech., vol. 940, 2022, A17) for dual-bag fragmentation that convincingly predicts the experimentally observed droplet volume probability density. We also estimate the temporal evolution of child droplet production in order to quantitatively illustrate the decomposition into initial and core breakups. Furthermore, we confirm that the analytical model adequately predicts t...

$where Vy /Vp represents the volume fraction of the node relative to the disk. Jackiw & Ashgriz (2022) experimentally investigated the bag and bag-stamen breakups at different HlaALACLELISUIC DICAKUP slZ05 COLLeEspOMaile LO CaCll MOA, In the single-bag breakup, the total size distribution results from three breakup modes, amely bag, rim, and node breakups. Thus, the overall volume probability density P, rota 3 a weighted sum of each mode. Jackiw & Ashgriz (2022) developed an analytical model nd used it to predict the overall volume probability density and characteristic sizes of he child droplets for the single-bag and sheet-thinning breakups. In the present study, we erform experiments to investigate the droplet morphology for different Weber numbers nd utilize the Jackiw & Ashgriz (2022) model to estimate the overall volume probability ensity and characteristic sizes of the child droplets resulting from single, dual, and multi- ag breakups.$

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Droplet size distribution in a swirl airstream using in-line holography technique

arXiv (Cornell University), Jul 10, 2022

We investigate the morphology and size distribution of satellite droplets resulting from the inte... more We investigate the morphology and size distribution of satellite droplets resulting from the interaction of a freely falling water droplet with a swirling airstream of different strengths by employing shadowgraphy and deep-learning-based digital in-line holography techniques. We found that the droplet exhibits vibrational, retracting bag and normal breakup phenomena for the no swirl, low and high swirl strengths for the same aerodynamic field. In the high swirl scenario, the disintegrations of the nodes, rim, and bagfilm contribute to the number mean diameter, resulting in smaller satellite droplets. In contrast, in the low swirl case, the breakup of the rim and nodes only contributes to the size distribution, resulting in larger droplets. The temporal variation of the Sauter mean diameter reveals that for a given aerodynamic force, a high swirl strength produces more surface area and surface energy than a low swirl strength. The theoretical prediction of the number-mean probability density of tiny satellite droplets under swirl conditions agrees with experimental data. However, for the low swirl, the predictions differ from the experimental results, particularly due to the presence of large satellite droplets. Our results reveal that the volume-weighted droplet size distribution exhibits two (bimodal) and three (multi-model) peaks for low and high swirl strengths, respectively. The analytical model that takes into account various mechanisms, such as the nodes, rim, and bag breakups, accurately predicts the shape and characteristic sizes of each mode for the case of high swirl strength.

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Buoyancy Driven Flow, Heat Transfer, and Entropy Generation Characteristics for Different Heater Geometries Placed in Cryogenic Liquid: A Computational Fluid Dynamics Study

Journal of Thermal Science and Engineering Applications, 2021

The present work reports a 3D computational study of buoyancy-driven flow and heat transfer chara... more The present work reports a 3D computational study of buoyancy-driven flow and heat transfer characteristics for a localized heater (analogous to superconductor) submerged in cryogenic liquid nitrogen in an enclosure. Seven different heater geometries are considered and the effect of heater geometry on flow and heat transfer characteristics is illustrated. The heater is generating heat at a constant rate (W/m3). Continuity, momentum, and energy equations are solved using the finite volume method. Liquid flow and heat transfer features are demonstrated with the help of velocity vector and temperature contours. Rayleigh number, average Nusselt number, the maximum vertical velocity of fluid flow, and the average velocity of fluid flow are the parameters that are considered for comparing seven different geometries of the heater. Additionally, an analysis of the entropy generation owing to the transfer of heat and friction due to fluid flow is reported. Furthermore, the dependency of aver...

Droplet size distribution in a swirl airstream using in-line holography technique

Journal of Fluid Mechanics

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3D computational investigation of heat transfer and entropy generation due to cryogenic cooling of twin heaters

Sādhanā, Dec 18, 2023

Application of deep learning and inline holography to estimate the droplet size distribution

arXiv (Cornell University), Mar 21, 2024

Download

Size distribution of a drop undergoing breakup at moderate Weber numbers

arXiv (Cornell University), Feb 23, 2023

Size distribution of a drop undergoing breakup at moderate Weber numbers

Journal of Fluid Mechanics

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Droplet size distribution in a swirl airstream using in-line holography technique

arXiv (Cornell University), Jul 10, 2022

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Buoyancy Driven Flow, Heat Transfer, and Entropy Generation Characteristics for Different Heater Geometries Placed in Cryogenic Liquid: A Computational Fluid Dynamics Study

Journal of Thermal Science and Engineering Applications, 2021

Droplet size distribution in a swirl airstream using in-line holography technique

Journal of Fluid Mechanics

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