Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (99)
  • Open Access

    ARTICLE

    Artificial Neural Networks for Optimizing Alumina Al2O3 Particle and Droplet Behavior in 12kK Ar-H2 Atmospheric Plasma Spraying

    Ridha Djebali1,*, Bernard Pateyron2, Mokhtar Ferhi1, Mohamed Ouerhani3, Karim Khemiri1, Montassar Najari1, M. Ammar Abbassi4, Chohdi Amri5, Ridha Ennetta6, Zied Driss7

    Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 441-461, 2025, DOI:10.32604/fhmt.2025.063375 - 25 April 2025

    Abstract This paper investigates the application of Direct Current Atmospheric Plasma Spraying (DC-APS) as a versatile thermal spray technique for the application of coatings with tailored properties to various substrates. The process uses a high-speed, high-temperature plasma jet to melt and propel the feedstock powder particles, making it particularly useful for improving the performance and durability of components in renewable energy systems such as solar cells, wind turbines, and fuel cells. The integration of nanostructured alumina (Al2O3) thin films into multilayer coatings is considered a promising advancement that improves mechanical strength, thermal stability, and environmental resistance. The More >

  • Open Access

    ARTICLE

    Numerical Analysis of Entropy Generation in Joule Heated Radiative Viscous Fluid Flow over a Permeable Radially Stretching Disk

    Tahir Naseem1, Fateh Mebarek-Oudina2,3,*, Hanumesh Vaidya4, Nagina Bibi5, Katta Ramesh6,7, Sami Ullah Khan8

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 351-371, 2025, DOI:10.32604/cmes.2025.063196 - 11 April 2025

    Abstract Maximizing the efficiency of thermal engineering equipment involves minimizing entropy generation, which arises from irreversible processes. This study examines thermal transport and entropy generation in viscous flow over a radially stretching disk, incorporating the effects of magnetohydrodynamics (MHD), viscous dissipation, Joule heating, and radiation. Similarity transformations are used to obtain dimensionless nonlinear ordinary differential equations (ODEs) from the governing coupled partial differential equations (PDEs). The converted equations are then solved by using the BVP4C solver in MATLAB. To validate the findings, the results are compared with previously published studies under fixed parameter conditions, demonstrating strong… More >

  • Open Access

    ARTICLE

    Nanoparticle Distribution in Compression Ignition Engines Using Rapeseed Methyl Ester

    Hayder A. Dhahad1, Miqdam T. Chaichan2,*, Mohammed A. Fayad2, Hasanain A. Abdul Wahhab3, T. Magrites4

    Energy Engineering, Vol.122, No.4, pp. 1249-1264, 2025, DOI:10.32604/ee.2025.061617 - 31 March 2025

    Abstract One of the most important of these emissions is fine particulate matter, which is a harmful emission of diesel engines, leading to the imposition of strict regulations. Biodiesel, with its high oxygen content, is an effective alternative to significantly reduce these emissions. In this study, rapeseed methyl ester (RME) was used as a diesel engine fuel and the emitted particulate matter was compared with ultra-low sulfur diesel (ULSD). In most experimental studies, the emission of soot was measured. In this work, the effects of injection timing, injection pressure (IP), and engine load on fine particulate… More > Graphic Abstract

    Nanoparticle Distribution in Compression Ignition Engines Using Rapeseed Methyl Ester

  • Open Access

    ARTICLE

    Utilizing Fine-Tuning of Large Language Models for Generating Synthetic Payloads: Enhancing Web Application Cybersecurity through Innovative Penetration Testing Techniques

    Stefan Ćirković1, Vladimir Mladenović1, Siniša Tomić2, Dalibor Drljača2, Olga Ristić1,*

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4409-4430, 2025, DOI:10.32604/cmc.2025.059696 - 06 March 2025

    Abstract With the increasing use of web applications, challenges in the field of cybersecurity are becoming more complex. This paper explores the application of fine-tuned large language models (LLMs) for the automatic generation of synthetic attacks, including XSS (Cross-Site Scripting), SQL Injections, and Command Injections. A web application has been developed that allows penetration testers to quickly generate high-quality payloads without the need for in-depth knowledge of artificial intelligence. The fine-tuned language model demonstrates the capability to produce synthetic payloads that closely resemble real-world attacks. This approach not only improves the model’s precision and dependability but… More >

  • Open Access

    ARTICLE

    Impact of Injection Strategies and Jatropha Biodiesel-Diesel Blends on Soot and Emissions

    Mohammed A. Fayad1,*, Amera A. Radhi1, Marwa K. Abood2, Hind A. AL Salihi1, Miqdam T. Chaichan1

    Energy Engineering, Vol.122, No.3, pp. 929-941, 2025, DOI:10.32604/ee.2025.061612 - 07 March 2025

    Abstract Oxygenated fuels can reduce harmful emissions without affecting engine performance, meeting the big challenge in the transportation industry, which keeps the environment safe and reduces global warming. This study investigates the impact of biodiesel injection strategies and fuel injection pressures (FIP) on diesel engine exhaust emission characteristics. The engine is fuelled with 20% Jatropha biodiesel (JB) and 80% diesel, named JB20D. The ratios of fuel injection pressures started with injecting the fuel (diesel and JB20D) from 200 bar to 500 bar. The experimental outcomes indicate that the engine performance of brake-specific fuel consumption increased by More > Graphic Abstract

    Impact of Injection Strategies and Jatropha Biodiesel-Diesel Blends on Soot and Emissions

  • Open Access

    ARTICLE

    Effects of Fuel Injection and Ignition on the Direct-Start Process of a Gasoline Direct Injection (GDI) Engine

    Tao Chen1, Zhengyu Du2, Zihan Liu2, Maoyu Xiao3, Zhe Zhang3, Lei Shi2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 405-426, 2025, DOI:10.32604/fdmp.2024.056396 - 06 March 2025

    Abstract During the highly transient process of the direct-start in a four-cylinder GDI engine, each cylinder exhibits specific characteristics in terms of in-cylinder conditions and energy demands, necessitating different control for each cylinder. However, recent studies have paid insufficient attention to cylinders other than the first starting cylinder. This paper proposes a comprehensive control strategy based on experimental data from the direct-start process of the second, third, and fourth cylinders, aiming to enhance the characteristics of combustion and emission performance through the optimization of injection timing, equivalence ratio, and ignition timing. The research findings indicate that… More >

  • Open Access

    ARTICLE

    The Water Flooding Seepage Mechanism in the Inter-Fractures of Horizontal Wells in Tight Oil Reservoirs

    Xinli Zhao1,*, Qianhua Xiao2, Xuewei Liu3, Yu Shi4, Xiangji Dou1, Guoqiang Xing1

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 427-444, 2025, DOI:10.32604/fdmp.2024.052646 - 06 March 2025

    Abstract Tight oil reservoirs face significant challenges, including rapid production decline, low recovery rates, and a lack of effective energy replenishment methods. In this study, a novel development model is proposed, based on inter-fracture injection following volumetric fracturing and relying on a high-temperature and high-pressure large-scale physical simulation system. Additionally, the CMG (Computer Modelling Group Ltd., Calgary City, Canada) software is also used to elucidate the impact of various single factors on the production of horizontal wells while filtering out the interference of others. The effects of fracture spacing, fracture half-length, and the injection-production ratio are… More >

  • Open Access

    ARTICLE

    Self-Attention Spatio-Temporal Deep Collaborative Network for Robust FDIA Detection in Smart Grids

    Tong Zu, Fengyong Li*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1395-1417, 2024, DOI:10.32604/cmes.2024.055442 - 27 September 2024

    Abstract False data injection attack (FDIA) can affect the state estimation of the power grid by tampering with the measured value of the power grid data, and then destroying the stable operation of the smart grid. Existing work usually trains a detection model by fusing the data-driven features from diverse power data streams. Data-driven features, however, cannot effectively capture the differences between noisy data and attack samples. As a result, slight noise disturbances in the power grid may cause a large number of false detections for FDIA attacks. To address this problem, this paper designs a… More >

  • Open Access

    ARTICLE

    An Integrated Optimization Method for CO2 Pre-Injection during Hydraulic Fracturing in Heavy Oil Reservoirs

    Hong Dong1, Xiding Gao2,*, Xinqi Zhang1, Qian Wang1,3, Haipeng Xu1, Binrui Wang2, Chengguo Gao1, Kaiwen Luo2, Hengyi Jiang2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.9, pp. 1971-1991, 2024, DOI:10.32604/fdmp.2024.049406 - 23 August 2024

    Abstract CO2 pre-injection during hydraulic fracturing is an important method for the development of medium to deep heavy oil reservoirs. It reduces the interfacial tension and viscosity of crude oil, enhances its flowability, maintains reservoir pressure, and increases reservoir drainage capacity. Taking the Badaowan Formation as an example, in this study a detailed three-dimensional geomechanical model based on static data from well logging interpretations is elaborated, which can take into account both vertical and horizontal geological variations and mechanical characteristics. A comprehensive analysis of the impact of key construction parameters on Pre-CO2 based fracturing (such as cluster More >

  • Open Access

    ARTICLE

    A Probabilistic Trust Model and Control Algorithm to Protect 6G Networks against Malicious Data Injection Attacks in Edge Computing Environments

    Borja Bordel Sánchez1,*, Ramón Alcarria2, Tomás Robles1

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 631-654, 2024, DOI:10.32604/cmes.2024.050349 - 20 August 2024

    Abstract Future 6G communications are envisioned to enable a large catalogue of pioneering applications. These will range from networked Cyber-Physical Systems to edge computing devices, establishing real-time feedback control loops critical for managing Industry 5.0 deployments, digital agriculture systems, and essential infrastructures. The provision of extensive machine-type communications through 6G will render many of these innovative systems autonomous and unsupervised. While full automation will enhance industrial efficiency significantly, it concurrently introduces new cyber risks and vulnerabilities. In particular, unattended systems are highly susceptible to trust issues: malicious nodes and false information can be easily introduced into… More >

Displaying 1-10 on page 1 of 99. Per Page