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  • Open Access

    ARTICLE

    Numerical Simulation and Experimental Analysis of the Influence of Asymmetric Pressure Conditions on the Splitting of a Gas-Liquid Two-Phase Flow at a T-Junction

    Lihui Ma1, Limin He1,2,*, Xiaoming Luo1,2, Xiangran Mi3

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.5, pp. 959-970, 2021, DOI:10.32604/fdmp.2021.016710 - 05 July 2021

    Abstract Dedicated experiments and numerical simulations have been conducted to investigate the splitting characteristics of a gas-liquid two phase flow at a T junction. The experiments were carried out for different gas-liquid velocities. The flow rates in the two branches were measured accurately to determine how the two considered phases distribute in the two outlets. The experimental results have shown that when the two outlet pressures are asymmetric, the two-phase flow always tends to flow into the outlet which has a lower pressure. As the inlet liquid velocity increases, however, the two-phase flow gradually tends to More >

  • Open Access

    ARTICLE

    Influence of Electrical Field Distortions Induced by Water Droplets on the Contamination Characteristics of an Insulator

    Yukun Lv, Yuechi Wang*, Jiawen Wang

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.5, pp. 971-987, 2021, DOI:10.32604/fdmp.2021.016602 - 05 July 2021

    Abstract When separated water droplets condense on the surface of a composite insulator, the electrical field on the insulator surface is distorted. In turn, such distortions change the trajectories of pollution particles. In this study, the COMSOL software is used to simulate such a process for the FXBW4-10/100 composite insulator with or without water droplets condensation under a 10 kV DC voltage. The influence of the wind speed and particles concentration on the contamination characteristics of the considered 110 kV insulator is analyzed. The results show that: 1) in the presence of water droplets on the More >

  • Open Access

    ARTICLE

    Investigation on the Changing Characteristics of Flow-Induced Noise in a Centrifugal Pump

    Guanpeng Li1, Lihui Sun2, Zhaoyang Wang1, Chunguo An1, Chang Guo3,*, Shen Cheng3, Ming Gao2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.5, pp. 989-1001, 2021, DOI:10.32604/fdmp.2021.016507 - 05 July 2021

    Abstract Centrifugal pumps are widely used in engineering for a variety of applications. A known drawback of these devices is the high-level noise generated during operations, which can affect their stability and adversely influence the entire working environment. By combining the Powell vortex sound theory, numerical simulations and experimental measurements, this research explores the trends of variation and the corresponding underlying mechanisms for the flow-induced noise at various locations and under different operating conditions. It is shown that the total sound source intensity (TSSI) and total sound pressure level (TSPL) in the impeller, in the region More >

  • Open Access

    ARTICLE

    Analysis of the Thermal Behavior of a Lithium Cell Undergoing Thermal Runaway

    Qifei Du1, Zhigang Fang2,3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.5, pp. 887-898, 2021, DOI:10.32604/fdmp.2021.016265 - 05 July 2021

    Abstract This study examines the thermal runaway of a lithium ion battery caused by poor heat dissipation performances. The heat transfer process is analyzed on the basis of standard theoretical concepts. Water mist additives are considered as a tool to suppress the thermal runaway process. The ensuing behaviour of the battery in terms of surface temperature and heat generation is analyzed for different charge and discharge rates. It is found that when the remaining charge is 100%, the heat generation rate of the battery is the lowest, and the surface temperature with a 2C charge rate More >

  • Open Access

    ARTICLE

    A study on the Gas-based Lubrication of Elastic Foil Bearings Using an Over Relaxation Iteration Method

    Xiangxi Du*, Yanhua Sun

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.5, pp. 917-929, 2021, DOI:10.32604/fdmp.2021.015710 - 05 July 2021

    Abstract A new type of foil bearings with a specific surface microstructure is studied. First, relevant boundary conditions based on the assumption of rarefied gas flow are proposed, then, the static bearing capacity and friction torque are analyzed in the framework of a numerical technique based on the discretization of the governing equation for rarefied gas-dynamics. It is shown that under the same static load, the difference between the minimum film thickness calculated in this exploration and the results provided by dedicated tests is not obvious; with an increase in the load, the simulation results are More >

  • Open Access

    ARTICLE

    Effects of Particle Concentration on the Dynamics of a Single-Channel Sewage Pump under Low-Flow-Rate Conditions

    Peijian Zhou1,2, Chaoshou Yan3, Lingfeng Shu4, Hao Wang2, Jiegang Mou2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.5, pp. 871-886, 2021, DOI:10.32604/fdmp.2021.012250 - 05 July 2021

    Abstract Single-channel sewage pumps are generally used to transport solid-liquid two-phase media consisting of a fluid and solid particles due to the good non-clogging property of such devices. However, the non-axisymmetric structure of the impeller of this type of pumps generally induces flow asymmetry, oscillatory outflow during operations, and hydraulic imbalance. In severe cases, these effects can jeopardize the safety and stability of the overall pump. In the present study, such a problem is investigated in the framework of a Mixture multiphase flow method coupled with a RNG turbulence model used to determine the structure of… More >

  • Open Access

    ARTICLE

    Prediction of the Corrosion Rate of Al–Si Alloys Using Optimal Regression Methods

    D. Saber1,*, Ibrahim B. M. Taha2, Kh. Abd El-Aziz3

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 757-769, 2021, DOI:10.32604/iasc.2021.018516 - 01 July 2021

    Abstract In this study, optimal regression learner methods were used to predict the corrosion behavior of aluminum–silicon alloys (Al–Si) with various Si ratios in different media. Al–Si alloys with 0, 1%, 8%, 11.2%, and 15% Si were tested in different media with different pH values at different stirring speeds (0, 300, 600, 750, 900, 1050, and 1200 rpm). Corrosion behavior was evaluated via electrochemical potentiodynamic test. The corrosion rates (CRs) obtained from the corrosion tests were utilized in the formation of datasets of various machine regression learner optimization (MRLO) methods, namely, decision tree, support vector machine,… More >

  • Open Access

    ARTICLE

    Feature Selection Using Artificial Immune Network: An Approach for Software Defect Prediction

    Bushra Mumtaz1, Summrina Kanwal2,*, Sultan Alamri2, Faiza Khan1

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 669-684, 2021, DOI:10.32604/iasc.2021.018405 - 01 July 2021

    Abstract Software Defect Prediction (SDP) is a dynamic research field in the software industry. A quality software product results in customer satisfaction. However, the higher the number of user requirements, the more complex will be the software, with a correspondingly higher probability of failure. SDP is a challenging task requiring smart algorithms that can estimate the quality of a software component before it is handed over to the end-user. In this paper, we propose a hybrid approach to address this particular issue. Our approach combines the feature selection capability of the Optimized Artificial Immune Networks (Opt-aiNet) More >

  • Open Access

    ARTICLE

    Detection of COVID-19 Using Deep Learning on X-Ray Images

    Munif Alotaibi1,*, Bandar Alotaibi2

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 885-898, 2021, DOI:10.32604/iasc.2021.018350 - 01 July 2021

    Abstract The novel coronavirus 2019 (COVID-19) is one of a large family of viruses that cause illness, the symptoms of which range from a common cold, fever, coughing, and shortness of breath to more severe symptoms. The virus rapidly and easily spreads from infected people to others through close contact in the absence of protection. Early detection of COVID-19 assists governmental authorities and healthcare specialists in reducing the chain of transmission and flattening the curve of the pandemic. The widespread form of the COVID-19 diagnostic test lacks a high true positive rate and a low false… More >

  • Open Access

    ARTICLE

    A General Technique for Real-Time Robotic Simulation in Manufacturing System

    Ting-Hsuan Chien1,*, Cheng-Yan Siao2, Rong-Guey Chang2

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 827-838, 2021, DOI:10.32604/iasc.2021.018256 - 01 July 2021

    Abstract This paper describes a real-time simulator that allows the user in the factories to simulate arbitrary interaction between machinery and equipment. We discussed in details not only the general technique for developing such a real-time simulator but also the implementation of the simulator in its actual use. As such, people on the production line could benefit from observing and controlling robots in factories for preventing or reducing the severity of a collision, using the proposed simulator and its related technique. For that purpose, we divided the simulator into two main models: the real-time communication model More >

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