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  • Open Access

    REVIEW

    A Review on the Evaporation Dynamics of Sessile Drops of Binary Mixtures: Challenges and Opportunities

    Pradeep Gurrala1, Saravanan Balusamy1, Sayak Banerjee1, Kirti Chandra Sahu2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 253-284, 2021, DOI:10.32604/fdmp.2021.014126 - 02 April 2021

    Abstract The wetting and evaporation dynamics of sessile droplets have gained considerable attention over the last few years due to their relevance to many practical applications, ranging from a variety of industrial problems to several biological systems. Droplets made of binary mixtures typically undergo complex dynamics due to the differential volatility of the considered components and the ensuing presence of thermocapillary effects. For these reasons, many research groups have focused on the evaporation of binary droplets using a variegated set of experimental, numerical, and purely theoretical approaches. Apart from reviewing the state-of-the-art about the existing experimental, More >

  • Open Access

    ARTICLE

    A Pressure-Drop Model for Oil-Gas Two-Phase Flow in Horizontal Pipes

    Xinke Yang1, Shanzhi Shi1, Hui Zhang1, Yuzhe Yang2,3, Zilong Liu2,3, Ruiquan Liao2,3,*, Joseph X. F. Ribeiro4

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 371-383, 2021, DOI:10.32604/fdmp.2021.011486 - 02 April 2021

    Abstract The accurate prediction of the pressure distribution of highly viscous fluids in wellbores and pipelines is of great significance for heavy oil production and transportation. The flow behavior of high-viscosity fluids is quite different with respect to that of low-viscosity fluids. Currently, the performances of existing pressure-drop models seem to be relatively limited when they are applied to high-viscosity fluids. In this study, a gas-liquid two-phase flow experiment has been carried out using a 60 mm ID horizontal pipe with air and white oil. The experimental results indicate that viscosity exerts a significant influence on More >

  • Open Access

    REVIEW

    Fetal Bradyarrhythmias: Etiopathogenesis, Diagnosis and Treatment: Between Literature Review and Experience of a Tertiary Center

    Elio Caruso*, Silvia Farruggio, Salvatore Agati, Corrado Di Mambro

    Congenital Heart Disease, Vol.16, No.4, pp. 309-331, 2021, DOI:10.32604/CHD.2021.015470 - 19 April 2021

    Abstract Fetal arrhythmias reach up around 10% of the total third-level perinatal cardiology references. Sustained bradycardia is defined as a baseline fetal heart rate (FHR) of less than 110 bpm sustained for at least 10 min. The overall incidence of malignant fetal bradyarrhythmias, such as complete atrioventricular block (AVB) and channellopathies, is relatively rare, 1:5000 pregnancies, but represents a serious emergency for the gynecologist, neonatologists, and pediatric cardiologists. Fetal complete AVB is strongly associated with maternal connective tissue disease, but it can be also associated with congenital heart disease and usually with a poorer prognosis with More >

  • Open Access

    ARTICLE

    An Optimized Deep Residual Network with a Depth Concatenated Block for Handwritten Characters Classification

    Gibrael Abosamra*, Hadi Oqaibi

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1-28, 2021, DOI:10.32604/cmc.2021.015318 - 22 March 2021

    Abstract Even though much advancements have been achieved with regards to the recognition of handwritten characters, researchers still face difficulties with the handwritten character recognition problem, especially with the advent of new datasets like the Extended Modified National Institute of Standards and Technology dataset (EMNIST). The EMNIST dataset represents a challenge for both machine-learning and deep-learning techniques due to inter-class similarity and intra-class variability. Inter-class similarity exists because of the similarity between the shapes of certain characters in the dataset. The presence of intra-class variability is mainly due to different shapes written by different writers for… More >

  • Open Access

    ARTICLE

    Numerical Study of Airborne Droplets Propagation Inside a Hospital Consulting Room

    Yu Zhou1,*, Shen Ji2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 189-200, 2021, DOI:10.32604/fdmp.2021.011744 - 09 February 2021

    Abstract The outbreak of Corona Virus (COVID-19) has spread over a large number of countries. The virus is typically transported inside liquid droplets produced by human beings. As a result, doctors operating in the consulting rooms of hospitals are potentially exposed to high risk. Taking into account the evaporation of droplets and using a hybrid Eulerian-Lagrangian framework to determine the airflow pattern and corresponding motion of droplets, in the present study, the motion of droplets is investigated with regard to the situation in which doctors check patients in front of their bed. A turbulence model (RNG k-ɛ) More >

  • Open Access

    ARTICLE

    Parameter Scaling of the Aerodynamic Breakup of the Acoustic Levitated Droplets in an Air Jet Flow

    Yanju Wei1,*, Shengcai Deng1, Jie Zhang1, Yajing Yang2, Hao Chen3

    Energy Engineering, Vol.118, No.2, pp. 225-235, 2021, DOI:10.32604/EE.2021.012416 - 23 December 2020

    Abstract The aerodynamic breakup of the droplet has been intensely studied in this paper. We aim to establish a unified relationship between dimensionless kinematic parameters such as displacement, spreading diameter, Weber number, time, and so on. The breakup characteristics of the acoustic levitated ethanol droplet are experimentally investigated when exposed to an air jet flow. The breakup phenomenons were recorded with a high-speed camera. The breakup characteristics were analyzed, and the physical models of the moving and transforming behaviors were established to explain the breakup mechanisms. We found that the displacement of the windward side of More >

  • Open Access

    ARTICLE

    Packet Drop Battling Mechanism for Energy Aware Detection in Wireless Networks

    Ahmad F. Subahi1,*, Youseef Alotaibi2, Osamah Ibrahim Khalaf3, F. Ajesh4

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2077-2086, 2021, DOI:10.32604/cmc.2020.014094 - 26 November 2020

    Abstract Network security and energy consumption are deemed to be two important components of wireless and mobile ad hoc networks (WMANets). There are various routing attacks which harm Ad Hoc networks. This is because of the unsecure wireless communication, resource constrained capabilities and dynamic topology. In order to cope with these issues, Ad Hoc On-Demand Distance Vector (AODV) routing protocol can be used to remain the normal networks functionality and to adjust data transmission by defending the networks against black hole attacks. The proposed system, in this work, identifies the optimal route from sender to collector, prioritizing the number… More >

  • Open Access

    ARTICLE

    A Novel Hybrid Intelligent Prediction Model for Valley Deformation: A Case Study in Xiluodu Reservoir Region, China

    Mengcheng Sun1,2, Weiya Xu1,2,*, Huanling Wang1,3, Qingxiang Meng1,2, Long Yan1,2, Wei-Chau Xie4

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 1057-1074, 2021, DOI:10.32604/cmc.2020.012537 - 30 October 2020

    Abstract The narrowing deformation of reservoir valley during the initial operation period threatens the long-term safety of the dam, and an accurate prediction of valley deformation (VD) remains a challenging part of risk mitigation. In order to enhance the accuracy of VD prediction, a novel hybrid model combining Ensemble empirical mode decomposition based interval threshold denoising (EEMD-ITD), Differential evolutions—Shuffled frog leaping algorithm (DE-SFLA) and Least squares support vector machine (LSSVM) is proposed. The non-stationary VD series is firstly decomposed into several stationary subseries by EEMD; then, ITD is applied for redundant information denoising on special sub-series,… More >

  • Open Access

    ARTICLE

    PREDICTION OF MASS TRANSFER COEFFICIENT OF THE CONTINUOUS PHASE IN A STRUCTURED PACKED EXTRACTION COLUMN IN THE PRESENCE OF SIO2 NANOPARTICLES

    Fereshteh Salimi Nanadegani, Bengt Sunden*

    Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-11, 2020, DOI:10.5098/hmt.14.21

    Abstract In this experimental study, mass transfer and hydrodynamic parameters of water/kerosene/acetic acid system in a packed column were investigated, in which the mass transfer direction was set from the continuous phase (saturated water of kerosene and acetic acid) to the dispersed phase (saturated kerosene of water) in all the experiments. To assess the impact of nanoparticles on mass transfer, the experiments were performed in the presence of SiO2 nanoparticles and absence of the nanoparticles. The results showed that the addition of the nanoparticles to the base fluid (saturated kerosene of water) increased the mass transfer efficiency More >

  • Open Access

    ARTICLE

    DIRECT SIMULATIONS OF BIPHILIC-SURFACE CONDENSATION: OPTIMIZED SIZE EFFECTS

    Zijie Chena , Sanat Modaka, Massoud Kavianya,* , Richard Bonnerb

    Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-11, 2020, DOI:10.5098/hmt.14.1

    Abstract In dropwise condensation on vertical surface, droplets grow at nucleation sites, coalesce and reach the departing diameter. In biphilic surfaces, when the hydrophobic domain is small, the maximum droplet diameter is controlled by the shortest dimension where the droplets merge at the boundary. Through direct numerical simulations this size-effect heat transfer coefficient enhancement is calculated. Then the 1-D biphilic surface is optimized considering the size-dependent hydrophilic domain partial flooding (directly simulated as a liquid rivulet and using the capillary limit), the subcooling (heat flux) and condenser length effects. The predicted performance is in good agreement More >

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