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  • Open Access

    ABSTRACT

    Design and Manufacturing of Composite Materials using 3D Printer

    Ryosuke Matsuzaki1,*, Taishi Nakamura1, Yusuke Yamagata1, Akira Todoroki2, Masahito Ueda3, Yoshiyasu Hirano4

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.4, pp. 171-171, 2019, DOI:10.32604/icces.2019.05205

    Abstract When continuous carbon fiber composites are molded with a 3D printer, three-dimensional complex structure can be integrally molded, which leads to reduction of manufacturing time and cost. In addition, because the curved continuous fibers can be printed in a plane when the 3D printer is utilized, the design space and capability of 3D printed composites will drastically expand compared with using just straight fibers such as conventional prepreg. However, printing accuracy of composite materials may be affected uniquely by parameters such as number of fibers in tow, printing curvature, compaction pressure etc. In this study, we investigated to construct an… More >

  • Open Access

    ABSTRACT

    A Paris Law-Based Cohesive Zone Model for Fatigue Crack Growth Simulations

    Akiyuki Takahashi1,*, Takaki Fujiwara1, Yuichi Shintaku2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.4, pp. 170-170, 2019, DOI:10.32604/icces.2019.05151

    Abstract This paper presents a Paris law-based cohesive zone model (CZM) for fatigue crack growth simulations to enable the consideration of the plasticity induced crack closure effect, which is known to be a source of substantial crack growth retardation. In order to avoid the addition of any redundant model parameters, the basic equation of the CZM is derived from the Paris law so that the CZM has only the parameters of Paris law. Thus, the parameters can be determined by referring the existing experimental data of the Paris law without any troublesome fitting processes. Only the parameter to be fitted is… More >

  • Open Access

    ABSTRACT

    Micro-Scale Numerical Simulation of Water Migration in Plant-Based Materials During Isothermal Drying

    Peng Wang, Huaxing Zhai, Gehan Liu, Xiaohua Wu, Dongliang Sun* and Bo Yu

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 149-150, 2019, DOI:10.32604/icces.2019.04963

    Abstract The isothermal drying of plant-based material, such as fruits and vegetables, is the most widely used drying technique to stabilize materiel and to increase their shelf life. However, drying is a high energy-consuming industry process, in which water removal obviously affects the quality of dried products. Therefore, it is crucial to understand the water migration mechanisms during drying for improving energy efficiency and ensuring better quality.
    Plant-based material generally has highly porous characteristics, and the major part of the water (about 80-90%) is present in the intracellular space, but not in the intercellular (pore) space. There are three pathways… More >

  • Open Access

    ABSTRACT

    Experimental Study on Mechanical Properties of Heat-Treated Hot Dry Rock Samples Under Combined Actions of Triaxial Stress and Pore Pressure

    Daobing Wang1,2, Bo Yu1,*, Dongliang Sun1, Dongxu Han1, Jingfa Li1, Hao Qin1, Peng Wang1, Xufei Yang1, Yajun Deng1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 147-148, 2019, DOI:10.32604/icces.2019.04786

    Abstract Hot dry rock (HDR), which is usually buried depth in 3-10 km, contains abundant heat energy for heating the house and making the electricity. Hydraulic fracturing is an effective technology to develop the geothermal resources. In hydraulic fracturing, a large amount of cold water is injected to generate the artificial fractures in subsurface. However, in previous studies, the study on the mechanical properties of HDR under the combined action of triaxial stress and pore pressure is still in its infancy and an exhaustive investigation is lacking. In this study, we experimentally investigated the heat-treated HDR samples with the integrated consideration… More >

  • Open Access

    ABSTRACT

    A POD Coupled Adaptive DEIM (POD-ADEIM) Reduced-Order Model for Incompressible Multiphase Flow in Porous Media

    Jingfa Li1,2, Shuyu Sun2,*, Bo Yu1, Yang Liu2, Tao Zhang2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 141-142, 2019, DOI:10.32604/icces.2019.04721

    Abstract The multiphase fluid flow in porous media is one of the most fundamental phenomena in various physical processes, such as oil/gas flow in reservoir, subsurface contamination dispersion, chemical separation, etc. Due to its importance, the efficient and accurate solution and prediction of multiphase flow in porous media is highly required in engineering applications and mechanism studies, which has been a research hot spot with increasing interest in recent years. However, the strong nonlinearity implicated in the multiphase flow model has brought great challenges for the computation and analysis. In addition, the permeability in Darcy-type pressure equation is always represented as… More >

  • Open Access

    ABSTRACT

    Numerical Analysis on the Thermal Responses of Near-Critical Fluid to Transient Cooling Process

    Lin Chen1,*, Atsuki Komiya2, Shigenao Maruyama2,3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 169-169, 2019, DOI:10.32604/icces.2019.05885

    Abstract The heat transfer of near-critical fluids has become a key topic as the transcritical/supercritical energy systems are more and more proposed in recent years. When fluids go across the critical point or the equilibrium curve in the phase boundaries in the critical region, dramatic changes happen in fluid properties. For example, the thermal diffusivity goes to zero and the compressibility diverges. Such effects introduce additional complexibility in thermal systems with supercritical fluids (heat exchanger, turbines, reactors, etc.). For the efficiency analysis in heat transfer and stability in small-scale, the current numerical study is proposed. In this study, non-equilibrium cooling process… More >

  • Open Access

    ABSTRACT

    A Multicomponent Transport Model for Proton Exchange Membrane Fuel Cells Using Ordered Membrane Electrode Assembly

    Jiarong Liang1, Yinshi Li1,2,*, Jinghui Jiang1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 168-168, 2019, DOI:10.32604/icces.2019.05679

    Abstract Designing cost-effective electrodes is essential to the development of proton exchange membrane fuel cells (PEMFCs). Therein, the highly ordered electrode has been proved to be effective by reducing Pt loading. To insight into the enhancement mechanism of ordered membrane electrode assembly (OMEA), in this work, a two-dimensional steady-state multicomponent mass-transport model is developed, in which a cylindrical structure model is adapted to account for the diffusion characteristics of reactants in ordered catalyst layer. Moreover, the overpotential corresponding to mass and charge transport limitations are calculated in this model based on concentration distribution and Ohm’s law, respectively. The numerical model result… More >

  • Open Access

    ABSTRACT

    Numerical Simulation on Dynamics and Heat Transfer Characteristics of Granulated Molten Slag Particle by Air with Moisture

    Yiming Fan1,2, Jingfu Wang1,2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 167-167, 2019, DOI:10.32604/icces.2019.05590

    Abstract In order to investigate the dynamics and heat transfer characteristics of granulated molten blast furnace slag by blast air, a mathematical model for the dynamics and heat transfer of high temperature molten slag granulated by gas was established and solved through the fourth order Runge-Kutta algorithm, the calculation program was compiled by FORTRAN. Considering that the efficiency of air cooling is low, a method of spray cooling was presented to improve the cooling rate. And the effect of varied particle size on movement and cooling was also researched. The variation of main thermal physical properties of slag and air with… More >

  • Open Access

    ABSTRACT

    The Model of Calculating the Injection Mass on Single Screw Compressor

    Yuting Wu1,2,*, Qiangyu Wen1,2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 166-166, 2019, DOI:10.32604/icces.2019.05532

    Abstract The liquid refrigerant injection is an impactful measure to decrease discharge temperature and improve performance of single screw compressor by injecting liquid refrigerant into the working chamber. The modeling of calculating injection mass on single screw compressor is presented considering compression, main leakage and Exhaust reflux base on mechanism of injection of liquid refrigerant and compressive process. Injection area is significant factor to calculate injection mass, and accurate injection mass can foresee precisely exhaust temperature of compressor. The effective injection area can be received by the methods of integration and projection which means injection hole is projected onto the plane… More >

  • Open Access

    ABSTRACT

    Using Machine Learning Methods in The Simulation of Heat Transfer and Fluid Flow: a Brief Review

    Minshan Li1,3, Dongchuan Mo2,3*, Shushen Lyu2,3*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 165-165, 2019, DOI:10.32604/icces.2019.05510

    Abstract In the past few years, machine learning algorithms and models have shown great power in the emerging field of data mining and artificial intelligence, attracting a great deal of attention. Given specific learning task and training data set, a machine learning model can improve automatically through training and can help people make decisions and predictions. To date, a lot of advanced machine learning algorithms and theories have been proposed and developed, including random forest, support vector machine, artificial neural network, deep learning and so on. Well-chosen and well-trained machine learning model is proved to have high efficiency, accuracy and robustness,… More >

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