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  • Open Access

    ARTICLE

    USE OF SILVER NANOPARTICLES MIXED WITH DEIONIZED WATER IN A RECTANGULAR TWO-PHASE CLOSED THERMOSYPHON: A CASE STUDY OF THE TWO-PHASE FLOW

    Namphon Pipatpaiboona , Teerapat Chompookhamb, Sampan Rittidechb, Yulong Dingc, Thanya Parametthanuwatd, Surachet Sichamnana,*

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-9, 2022, DOI:10.5098/hmt.19.24

    Abstract When nanofluid (NF) is used as the working fluid in a rectangular two-phase closed thermosyphon (RTPCT), the formations and heat performance of two-phase flow patterns are explored qualitatively. Silver nanoparticles were mixed with deionized water at a concentration of 0.5 wt% in the NF. Nanoparticles improved the thermal contact surface area within the base flow, allowing the base fluid to boil quickly and easily. When the working fluid was boiled, NF also demonstrated high thermal conductivity capabilities, which diffused and moved along with the dual flow patterns. As a result, these qualities improved the RTPCT's efficiency. Considering the findings of… More >

  • Open Access

    ARTICLE

    EFFECT OF PARTICLE DIAMETER SIZE ON INTERNAL FLOW CHARACTERISTICS OF A SMALL SEWAGE PUMP

    Yu-Liang Zhanga,* , Dong-Yang Wub, Hai-Bing Caic, Can-Fei Wangc, Fei-Wuc, Shao-Han Zhengd

    Frontiers in Heat and Mass Transfer, Vol.20, pp. 1-5, 2023, DOI:10.5098/hmt.20.11

    Abstract In this paper, based on the Mixture model, the numerical computations of the internal flow field in a sewage pump are carried out. Through numerical simulation, the turbulence flow characteristics in the sewage pump are obtained. Results show that when the particle diameter is 0.10 mm, the solid-phase concentration on the volute surface is high, and the wear is more severe. When the particle diameters are 0.15 mm and 0.20 mm, the solid-phase concentration on the volute surface is significantly higher, especially when the over-current cross-section enlarges constantly. More >

  • Open Access

    ARTICLE

    An Adaptive Parameter-Free Optimal Number of Market Segments Estimation Algorithm Based on a New Internal Validity Index

    Jianfang Qi1, Yue Li1,3, Haibin Jin1, Jianying Feng1, Dong Tian1, Weisong Mu1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 197-232, 2023, DOI:10.32604/cmes.2023.026113

    Abstract An appropriate optimal number of market segments (ONS) estimation is essential for an enterprise to achieve successful market segmentation, but at present, there is a serious lack of attention to this issue in market segmentation. In our study, an independent adaptive ONS estimation method BWCON-NSDK-means++ is proposed by integrating a new internal validity index (IVI) Between-Within-Connectivity (BWCON) and a new stable clustering algorithm Natural-SDK-means++ (NSDK-means++) in a novel way. First, to complete the evaluation dimensions of the existing IVIs, we designed a connectivity formula based on the neighbor relationship and proposed the BWCON by integrating the connectivity with other two… More >

  • Open Access

    ARTICLE

    Optimized Model Based Controller with Model Plant Mismatch for NMP Mitigation in Boost Converter

    R. Prasanna1,*, Uma Govindarajan1, N. S. Bhuvaneswari2

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1961-1979, 2023, DOI:10.32604/csse.2023.032424

    Abstract In this paper, an optimized Genetic Algorithm (GA) based internal model controller-proportional integral derivative (IMC-PID) controller has been designed for the control variable to output variable transfer function of dc-dc boost converter to mitigate the effect of non-minimum phase (NMP) behavior due to the presence of a right-half plane zero (RHPZ). This RHPZ limits the dynamic performance of the converter and leads to internal instability. The IMC PID is a streamlined counterpart of the standard feedback controller and easily achieves optimal set point and load change performance with a single filter tuning parameter λ. Also, this paper addresses the influences… More >

  • Open Access

    ARTICLE

    Numerical Simulation about the Characteristics of the Store Released from the Internal Bay in Supersonic Flow

    Xiaohui Cheng1, Haiqing Si1,*, Yao Li1, Peihong Zhang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1729-1742, 2023, DOI:10.32604/cmes.2023.022694

    Abstract To understand the influence of the initial release conditions on the separation characteristics of the store and improve it under high Mach number (Ma = 4) flight conditions, the overset grid method and the Realizable turbulence model coupled with an equation with six degrees of freedom are used to simulate the store released from the internal bay. The motion trajectory and the attitude angle of the store separation under the conditions of different centroid, velocity, height and control measures are given by the calculated result. Through analysis, the position of the centroid will affect the separation of the store, which needs to… More >

  • Open Access

    REVIEW

    Translocation and transformation of engineered nanomaterials in plant cells and their effect on metabolism

    WEICHEN ZHAO1, PINGFAN ZHOU1, BENZHEN LOU1, YAQI JIANG1, YUANBO LI1, MINGSHU LI1, NOMAN SHAKOOR1, YUKUI RUI1,2,3,4,*

    BIOCELL, Vol.47, No.3, pp. 493-502, 2023, DOI:10.32604/biocell.2023.025740

    Abstract As the climate worsens and the demand for food grows, so does the interest in nanoagriculture. The interaction between plants and nanomaterials (NMs) has been extensively and intensively examined. However, stopping at the outcome of a phenomenon is often insufficient. Therefore, we introduce three important processes of nanoparticle-plant interactions: translocation, transformation, and plant metabolism. During the migration of nanoparticles, size and surface electrical properties are the main determining factors. Additionally, the interaction of nanoparticles with cell membranes is another key aspect of research. The transformation of nanoparticles in plants is mainly due to redox substances. The way that nanoparticles affect… More >

  • Open Access

    ARTICLE

    Synergistic Modification of PVC with Nitrogen-Containing Heterocycle and Tung-Oil Based Derivative for Enhanced Heat Stabilization and Plasticization Behavior

    Mei Wang1, Xinzhu Fan1, Quan Bu1, Puyou Jia2,3,*, Shouqi Yuan4

    Journal of Renewable Materials, Vol.11, No.4, pp. 2015-2031, 2023, DOI:10.32604/jrm.2023.026063

    Abstract The additives present in polyvinyl chloride (PVC) materials are the major source of organic by-products during PVC degradation. The thermal stabilizer and plasticizer are the main additives that endow PVC with the required properties during its processing. However, these two additives easily migrate when samples are obtained by physical mixing of the additives with PVC. This causes the reduction of PVC sample efficacy and the increase in the formation of organic by-products in the radiolysis process. In this work, two kinds of grafted PVC samples (tung-oil derivative grafted PVC and Atz grafted PVC, abbreviated as P-GT4 and P-AZ3) were synthesized… More > Graphic Abstract

    Synergistic Modification of PVC with Nitrogen-Containing Heterocycle and Tung-Oil Based Derivative for Enhanced Heat Stabilization and Plasticization Behavior

  • Open Access

    ARTICLE

    Effect of an Internal Heat Exchanger on the Performances of a Double Evaporator Ejector Refrigeration Cycle

    Rachedi Khadraoui1, Latra Boumaraf1,*, Philippe Haberschill2

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.5, pp. 1115-1128, 2023, DOI:10.32604/fdmp.2022.022674

    Abstract A theoretical investigation is presented about a double evaporator ejector refrigeration cycle (DEERC). Special attention is paid to take into account the influence of the sub-cooling and superheating effects induced by an internal heat exchanger (IHX). The ejector is introduced into the baseline cycle in order to mitigate the throttling process losses and increase the compressor suction pressure. Moreover, the IHX has the structure of a concentric counter-flow type heat exchanger and is intentionally used to ensure that the fluid at the compressor inlet is vapor. To assess accurately the influence of the IHX on the DEERC performance, a mathematical… More > Graphic Abstract

    Effect of an Internal Heat Exchanger on the Performances of a Double Evaporator Ejector Refrigeration Cycle

  • Open Access

    ARTICLE

    Exergy Analysis of Organic Rankine Cycles with Zeotropic Working Fluids

    Antonio Mariani, Davide Laiso, Biagio Morrone*, Andrea Unich

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 593-601, 2023, DOI:10.32604/fdmp.2022.022524

    Abstract Waste heat recovery is one of the possible solutions to improve the efficiency of internal combustion engines. Instead of wasting the exhaust stream of an energy conversion system into the environment, its residual energy content can be usefully recovered, for example in Organic Rankine Cycles (ORC). This technology has been largely consolidated in stationary power plants but not yet for mobile applications, such as road transport, due to the limitations in the layout and to the constraints on the size and weight of the ORC system. An ORC system installed on the exhaust line of a bus powered by a… More > Graphic Abstract

    Exergy Analysis of Organic Rankine Cycles with Zeotropic Working Fluids

  • Open Access

    ARTICLE

    Night Vision Object Tracking System Using Correlation Aware LSTM-Based Modified Yolo Algorithm

    R. Anandha Murugan1,*, B. Sathyabama2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 353-368, 2023, DOI:10.32604/iasc.2023.032355

    Abstract Improved picture quality is critical to the effectiveness of object recognition and tracking. The consistency of those photos is impacted by night-video systems because the contrast between high-profile items and different atmospheric conditions, such as mist, fog, dust etc. The pictures then shift in intensity, colour, polarity and consistency. A general challenge for computer vision analyses lies in the horrid appearance of night images in arbitrary illumination and ambient environments. In recent years, target recognition techniques focused on deep learning and machine learning have become standard algorithms for object detection with the exponential growth of computer performance capabilities. However, the… More >

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