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  • Open Access

    ARTICLE

    Investigating the Effects of Eichhornia Crassipes Biodiesel and Liquefied Petroleum Gas on the Performance and Emissions of a Dual-Fuel Engine

    Hawraa S. Mohammed*, Mahmoud A. Mashkour

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2329-2343, 2023, DOI:10.32604/fdmp.2023.026890 - 16 May 2023

    Abstract This study considers the effect of Eichhornia Crassipes Biodiesel (ECB) blends on the performances, combustion, and emission characteristics of a direct injection compression ignition engine operated in a dual-fuel mode (DFM) and equipped with an Exhaust gas recirculation technique (EGR). In particular, a single-cylinder, four-stroke, water-cooled diesel engine was utilized and four modes of fuel operation were considered: mode I, the engine operated with an ordinary diesel fuel; mode II, the engine operated with the addition of 2.4 L/min of liquefied petroleum gas (LPG) and 20% EGR; mode III, 20% ECB with 2.4 L/min LPG… More >

  • Open Access

    ARTICLE

    Durability Testing of Composite Aerospace Materials Based on a New Polymer Carbon Fiber-Reinforced Epoxy Resin

    Jinlong Shang*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2315-2328, 2023, DOI:10.32604/fdmp.2023.026742 - 16 May 2023

    Abstract In this study, the durability of a new polymer carbon fiber-reinforced epoxy resin used to produce composite material in the aerospace field is investigated through analysis of the corrosion phenomena occurring at the microscopic scale, and the related infrared spectra and thermal properties. It is found that light and heat can contribute to the aging process. In particular, the longitudinal tensile strength displays a non-monotonic trend, i.e., it first increases and then decreases over time. By contrast, the longitudinal compressive and inter-laminar shear strengths do not show significant changes. It is also shown that the More >

  • Open Access

    ARTICLE

    Spray Effect on the Thermal Performances of a Dry Cooling Tower

    Zhe Geng1, Feng Feng1, Shuzhen Zhang1, Jie Li2, Chengwei Liu3, Yang Li4, Tiantian Liu4, Suoying He4,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2289-2304, 2023, DOI:10.32604/fdmp.2023.026707 - 16 May 2023

    Abstract Pre-cooling the inlet air of a dry cooling tower by means of a spray can improve the tower performance during periods of high temperature. To study the spray effect on the thermal performance of natural draft dry cooling towers (NDDCTs), in this study 3-D numerical simulations of such a process have been conducted using Fluent 16.2 (a two-way coupled Eulerian-Lagrangian approach). The considered NDDCT is 120 m high and only half system is simulated due to its structural symmetry. Three different spray strategies have been investigated at a typical crosswind speed of 4 m/s, which is the… More > Graphic Abstract

    Spray Effect on the Thermal Performances of a Dry Cooling Tower

  • Open Access

    ARTICLE

    A Three-Dimensional Model for the Formation Pressure in Wellbores under Uncertainty

    Jiawei Zhang*, Qing Wang, Hongchun Huang, Haige Wang, Guodong Ji, Meng Cui, Hongyuan Zhang

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2305-2314, 2023, DOI:10.32604/fdmp.2023.026304 - 16 May 2023

    Abstract Formation pressure is the key parameter for the analysis of wellbore safety. With increasing drilling depth, however, the behavior of this variable becomes increasingly complex. In this work, a 3D model of the formation pressure under uncertainty is presented. Moreover a relevant algorithm is elaborated. First, the logging data of regional key drilling wells are collected and a one-dimensional formation pressure profile along the well depth is determined. Then, a 3D model of regional formation pressure of the hierarchical group layer is defined by using the Kriging interpolation algorithm relying on a support vector machine… More >

  • Open Access

    ARTICLE

    Influence of High-Robustness Polycarboxylate Superplasticizer on the Performances of Concrete Incorporating Fly Ash and Manufactured Sand

    Panpan Cao1,2, Xiulin Huang1,3,*, Shenxu Bao4, Jin Yang5,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2041-2051, 2023, DOI:10.32604/fdmp.2023.027399 - 04 April 2023

    Abstract Using ethylene glycol monovinyl polyoxyethylene ether, 2-acrylamido-2-methylpropane sulfonic acid (AMPS) and acrylic acid as the main synthetic monomers, a high robustness polycarboxylate superplasticizer was prepared. The effects of initial temperature, ratio of acid to ether, amount of chain transfer agent, and synthesis process on the properties of the superplasticizer were studied. The molecular structure was characterized by GPC (Gel Permeation Chromatography) and IR (Infrared Spectrometer). As shown by the results, when the initial reaction temperature is 15°C, the ratio of acid to ether is 3.4:1 and the acrylic acid pre-neutralization is 15%, The AMPS substitution More > Graphic Abstract

    Influence of High-Robustness Polycarboxylate Superplasticizer on the Performances of Concrete Incorporating Fly Ash and Manufactured Sand

  • Open Access

    EDITORIAL

    Foreword International Conference on Materials and Energy (ICOME 2021)

    El Ganaoui Mohammed1,*, Bennacer Rachid2, Fassi-Fehri Omar3, Benyoussef Abdelilah3, Petrissans Mathieu4

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2131-2146, 2023, DOI:10.32604/fdmp.2023.027329 - 04 April 2023

    Abstract The International Conference on Materials and Energy (ICOME) was held in Metz on June 2021 following the earlier successful conferences of the same series held in Tunisia in 2019, Spain in 2018, China in 2017, France in 2016 and Morocco in 2015. The 2021 event should be regarded as a late realization of the ICOME 2020 conferences, which had to be delayed due to the pandemic. A significant number of papers presented in the framework of this conference have been selected for publication in the Fluid Dynamics and Material Processing international peer reviewed Journal given More >

  • Open Access

    ARTICLE

    Enhancing Heavy Crude Oil Flow in Pipelines through Heating-Induced Viscosity Reduction in the Petroleum Industry

    Ramzy S. Hamied1,*, Anwar N. Mohammed Ali1, Khalid A. Sukkar2

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2027-2039, 2023, DOI:10.32604/fdmp.2023.027312 - 04 April 2023

    Abstract The process of transporting crude oil across pipelines is one of the most critical aspects of the midstream petroleum industry. In the present experimental work, the effect of temperature, pressure drop, and pipe diameter on the flow rate of heavy crude oil have been assessed. Moreover, the total discharge and energy losses have been evaluated in order to demonstrate the improvements potentially achievable by using solar heating method replacing pipe, and adjusting the value of the initial pressure difference. Crude oil of API = 20 has been used for the experiments, with the studied pipelines sections… More > Graphic Abstract

    Enhancing Heavy Crude Oil Flow in Pipelines through Heating-Induced Viscosity Reduction in the Petroleum Industry

  • Open Access

    ARTICLE

    Prediction and Optimization of the Thermal Properties of TiO2/Water Nanofluids in the Framework of a Machine Learning Approach

    Jiachen Li1,2, Wenlong Deng3, Shan Qing1,2,*, Yiqin Liu4, Hao Zhang1,2, Min Zheng1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2181-2200, 2023, DOI:10.32604/fdmp.2023.027299 - 04 April 2023

    Abstract In this study, comparing multiple models of machine learning, a multiple linear regression (MLP), multilayer feed-forward artificial neural network (BP) model, and a radial-basis feed-forward artificial neural network (RBF-BP) model are selected for the optimization of the thermal properties of TiO2/water nanofluids. In particular, the least squares support vector machine (LS-SVM) method and radial basis support vector machine (RB-SVM) method are implemented. First, curve fitting is performed by means of multiple linear regression in order to obtain bivariate correlation functions for thermal conductivity and viscosity of the nanofluid. Then the aforementioned models are used for a More >

  • Open Access

    ARTICLE

    Fatigue Life Estimation of High Strength 2090-T83 Aluminum Alloy under Pure Torsion Loading Using Various Machine Learning Techniques

    Mustafa Sami Abdullatef*, Faten N. Alzubaidi, Anees Al-Tamimi, Yasser Ahmed Mahmood

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2083-2107, 2023, DOI:10.32604/fdmp.2023.027266 - 04 April 2023

    Abstract The ongoing effort to create methods for detecting and quantifying fatigue damage is motivated by the high levels of uncertainty in present fatigue-life prediction approaches and the frequently catastrophic nature of fatigue failure. The fatigue life of high strength aluminum alloy 2090-T83 is predicted in this study using a variety of artificial intelligence and machine learning techniques for constant amplitude and negative stress ratios (). Artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), support-vector machines (SVM), a random forest model (RF), and an extreme-gradient tree-boosting model (XGB) are trained using numerical and experimental input… More > Graphic Abstract

    Fatigue Life Estimation of High Strength 2090-T83 Aluminum Alloy under Pure Torsion Loading Using Various Machine Learning Techniques

  • Open Access

    ARTICLE

    Improving Crude Oil Flow Using Graphene Flakes under an Applied Electric Field

    Thaer Al-Jadir1,*, Laith S. Sabri2, Wafaa A. Kadhim3, Saja Mohsen Alardhi3, Raheek I. Ibrahim4

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2067-2081, 2023, DOI:10.32604/fdmp.2023.027156 - 04 April 2023

    Abstract Graphene flakes (GF) have been prepared and assessed as a material for improving flow in oil pipelines under the effect of an electric field. In particular, different amounts of GFs have been considered in order to determine the optimal flow conditions. The GFs were prepared from graphite foam, derived from the dehydration of sugar with a particle size of 500–600 μm, which was dispersed in ethanol and exfoliated in a ball mill under a shear force. After 15 h of exfoliation, sonication, and subsequent high-speed centrifugation at 3000 rpm, irregular-shaped GFs of 50–140 nm were produced and characterized… More > Graphic Abstract

    Improving Crude Oil Flow Using Graphene Flakes under an Applied Electric Field

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