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ABSTRACT

Jingfa Li^1,2, Shuyu Sun^2,*, 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 >

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Xinyu You¹, Jionghui Liu¹, Nan Hua^1,3, Ji Wang⁵, Rongji Xu^1,4, Guangxu Yu², Huasheng Wang^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 143-143, 2019, DOI:10.32604/icces.2019.04732
Abstract The paper reports preliminary measurement results for flow boiling heat transfer of refrigerant R1233zd in parallel horizontal microchannels. The aluminum test section consists of two blocks and has 10 parallel channels with 1.0 mm in width, 1.5 mm in height and 440 mm in length. Five small thermocouple holes with diameter 0.6 mm and depth 20 mm were drilled at 10 locations along the channel on the two aluminum blocks, respectively. Local heat flux and channel surface temperature along the channel were obtained using the inverse heat conduction method [1] based on temperatures accurately measured by 100 thermocouples. Local saturation… More >

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629

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Long Jiao^1,2, Zhibin Wang^1,2, Rong Chen^1,2,*, Xun Zhu^1,2, Qiang Liao^1,2, Dingding Ye^1,2, Biao Zhang^1,2
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 144-146, 2019, DOI:10.32604/icces.2019.04734
Abstract With the advances in micro total analysis systems (µTAS), the droplet-based microfluidics, which manipulates mini discrete droplets in an immiscible continuous phase to accomplish various detections, has been applied to many fields including medicine, pharmacy, fine-chemistry and biotechnology as it offers distinct advantages, such as small diffusion length, high-throughput, precise control and integratability [1]. As compared to the continuous-flow microfluidics, the samples in the droplet-based microfluidics are isolated by a defined droplet/continuous phase interface, avoiding the cross contamination and resulting in a controllable reaction environment. In the droplet-based microfluidics, the control of the droplet temperature with prominent temporal spatial resolution… More >

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702

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Daobing Wang^1,2, Bo Yu^1,*, 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 >

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938

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675

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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 >

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663

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Yang Li¹, Wenjing Zhou^1,*, Yonghai Zhang¹, Baojin Qi¹, Jinjia Wei^{1, 2, *}
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 151-151, 2019, DOI:10.32604/icces.2019.04982
Abstract Nucleation boiling is used in a wide range of engineering and science fields, such as electronics cooling, new energy and the microelectromechanical systems (MEMS) technology. Besides, a better understanding of the nucleation is fundmental significance for the application and enchcement of nucleation boiling in the traditional and modern high-tech industries. Unfortunately, due to the complexity of physical mechanisms in nanoscale and the limit of small scale, accurate experimentation of nucleation cannot be accomplished. Therefore, it is important to study the influence of solid properties on nucleation despite its general importance by performing molecular dynamics simulation researches. In present work, we… More >

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664

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Shangmin Ao, Peng Wang*, Lin Zhang, Yajun Deng, Dongliang Sun*, Bo Yu
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 152-153, 2019, DOI:10.32604/icces.2019.05005
Abstract The problem of fluid flow and heat transfer in porous media is one common phenomenon in industrial production and daily life. Numerical simulation for the above problem can provide a realistic understanding of transport processes and thus can help to optimize energy consumption. However, in the macroscopic model of fluid flow and heat transfer, the convergence rate of traditional numerical methods is usually poor as the hygroscopic properties of porous media. Therefore, it is of great significance to develop an efficient algorithm for the macroscopic model of fluid flow and heat transfer in porous media. The IDEAL (Inner Doubly-iterative Efficient… More >

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698

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Zhenchuan Wang^1,2, Ruina Xu², Peixue Jiang^2,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 154-154, 2019, DOI:10.32604/icces.2019.05023
Abstract Deeply analysis and prediction of turbulent convection heat transfer of supercritical pressure fluid in one-side non-uniform heating vertical tube plays a major role in system design and security. The Over-prediction of convection heat transfer of supercritical pressure fluid in vertical tube is attributed, at least partly, to the invalid of turbulent model on simulating the buoyancy effect. The present paper adopt an improved turbulent model, which is validated suitable to three dimensional model, to simulate flow and heat transfer of supercritical pressure water in vertical non-uniform heating tube. Heat transfer deterioration phenomenon occurs in non-uniform heating condition, while the degree… More >

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976

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648

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Sheng Jia, Guojun * Yu*^*, Yanting Geng, Lizhi Zhang
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 155-155, 2019, DOI:10.32604/icces.2019.05100
Abstract Crude oil tanker usually encounters rolling motion during sea transportation, which leads to a rotational movement and sometimes a sloshing for the liquid hold. This rolling-induced body motion seriously affects the thermal and hydraulic behavior of liquid hold, which then affects the heating process and heat preservation of the tanker. Clarification of the involved thermal and hydraulic characteristic is the basic requirement for establishment of a scientific heating scheme and heat preservation method. Numerical simulation for such a problem faces challenges in terms of free liquid surface movement, rotational acceleration and shear-dependent viscosity (non-Newtonian behavior) of the liquid. Free surface… More >

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642

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Cong Liu, Guojun Yu*, Sheng Jia
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 156-156, 2019, DOI:10.32604/icces.2019.05101
Abstract Geothermal energy, clean and renewable, has attracted more and more attention in this century challenged by energy crisis and climate change. Ground source heat pump (GSHP) technology, which has been widely applied in the field of heating, ventilating and air conditioning (HVAC), is one of the most important ways to utilize geothermal energy. The buried pipe heat exchanger system is the core of GSHP, sufficient investigations should be conducted prior to its design to clarify the relevant thermal and hydraulic characteristics. Numerical calculation is much more practical than experimental research for the buried pipe heat exchanger systems due to the… More >

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713

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Jian Xie*, Cong Liang, Qingting She, Jinliang Xu
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 157-157, 2019, DOI:10.32604/icces.2019.05222
Abstract Recently, micro/nano structured surfaces with various wettabilities have been developed to enhance condensation heat transfer. Here, two improved condensation heat transfer models were proposed to guide design of these surfaces. The first model deals with condensation on homogeneous wettability surface with nono-pillars. Compared with the classical model, the improved model behaves three features: (1) The linking from surface wettability to nano-pillars parameters is established; (2) The nano-porous thermal resistance under condensate droplets is considered; (3) The transition criteria of different droplet detachment modes including sliding, rolling and jumping is incorporated. The nano-pillars are found to have both positive and negative… More >

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664

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Suli Shi, Yu Qiang, Yuanwei Lu*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 158-158, 2019, DOI:10.32604/icces.2019.05362
Abstract Low cost heat charge and discharge can be realized by the single storage thermal tank integrated with a coil heat exchanger and an annular baffle. Arrangements of the coil heat exchanger will directly affect the heat discharging performance of the system. Simulations were performed for six arrangements of the coil heat exchanger which are evaluated by outlet temperature, heat transfer rate and heat discharging efficiency. For different arrangements, the law of heat discharging performance of the single thermal storage tank is given, and the change of flow field around the coil heat exchanger is analyzed. The results show that the… More >

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697

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Jinghui Jiang¹, Yinshi Li^1,2,*, Jiarong Liang¹, Huaxing Xu¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 159-159, 2019, DOI:10.32604/icces.2019.05378
Abstract Water flooding in the cathode is considered as one of the most important factors that impede the performance of direct methanol fuel cells (DMFCs) during the operation of high current density. Therefore, it is essential to study water management of cathode in DMFC. In this work, a two-dimensional, steady-state, two-phase, mass-transport model of DMFC with micro-porous layer (MPL) was developed considering methanol crossover and water crossover processes. Emphasis is placed on investigating parameter design of cathode to relieve flooding in DMFC, further to improve cell performance. The effects of MPL parameters, including porosity and thickness, on water distribution in cathode… More >

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615

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Anjie Hu*, DongLiu
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 160-160, 2019, DOI:10.32604/icces.2019.05466
Abstract The pseudo-potential lattice Boltzmann (LB) phase change model has been widely applied in the simulation of liquid-vapor phase change problem. In the simulation, the LB method are applied in modeling of both two-phase flow and the energy transition. However, Li et al. [Physical Reviews E 96, 063303 (2017)] pointed out that the LB thermal equations cause errors when applied with pseudo-potential model. To eliminate these errors, they proposed an improved model by adding correction terms in the LB thermal equation. In their research, the treatment of these correction terms is quite complex and several finite-difference (FD) computations are adopted to… More >

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603

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Zhiyu Guo*, Yuting Wu
The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 161-164, 2019, DOI:10.32604/icces.2019.05490
Abstract Generally, the greater the difference between evaporation and condensation temperature of ORC(Organic Rankie Cycle) is, the higher system efficiency and the larger expansion ratio will be [1,2]. Fig. 1 shows that net efficiency of theoretical cycle and expansion ratio of ORC system changes with evaporation temperature when condensing temperature is 313 K (R123 and HFO-1336mzz (Z) are selected). More >

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691

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Minshan Li^1,3, Dongchuan Mo^2,3*, Shushen Lyu^2,3*
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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814

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Yuting Wu^1,2,*, Qiangyu Wen^1,2
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 >

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999

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657

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ABSTRACT

Yiming Fan^1,2, Jingfu Wang^1,2
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 >

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965

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654

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Jiarong Liang¹, Yinshi Li^1,2,*, 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 >

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685

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Lin Chen^1,*, Atsuki Komiya², Shigenao Maruyama^2,3
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 >

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