Chakar Khadija^*, El Mouden Mahmoud, Hajjaji Abdelowahed

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 61-70, 2025, DOI:10.32604/fdmp.2024.053458 - 24 January 2025

Abstract The primary objective of this study is to develop an innovative theoretical model to accurately predict the thermophysical properties of hybrid nanofluids designed to enhance cooling in solar panel applications. This research lays the groundwork for our future studies, which will focus on photovoltaic thermal applications. These nanofluids consist of water and nanoparticles of alumina (Al₂O₃), titanium dioxide (TiO₂), and copper (Cu), exploring volumetric concentrations ranging from 0% to 4% for each type of nanoparticle, and up to 10% for total mixtures. The developed model accounts for complex interactions between the nanoparticles and the base fluid, More >

Mingxing Tian^*, Weiyuan Zhang, Zhaoxu Su

Energy Engineering, Vol.122, No.1, pp. 307-329, 2025, DOI:10.32604/ee.2024.057426 - 27 December 2024

Abstract In the context of the “dual carbon” goals, to address issues such as high energy consumption, high costs, and low power quality in the rapid development of electrified railways, this study focused on the China Railways High-Speed 5 Electric Multiple Unit and proposed a mathematical model and capacity optimization method for an on-board energy storage system using lithium batteries and supercapacitors as storage media. Firstly, considering the electrical characteristics, weight, and volume of the storage media, a mathematical model of the energy storage system was established. Secondly, to tackle problems related to energy consumption and… More >

Muhammad Qasim Khan¹, Fazal Malik¹, Fahad Alturise^2,*, Noor Rahman³

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 123-153, 2025, DOI:10.32604/cmes.2024.057272 - 17 December 2024

Abstract Control signaling is mandatory for the operation and management of all types of communication networks, including the Third Generation Partnership Project (3GPP) mobile broadband networks. However, they consume important and scarce network resources such as bandwidth and processing power. There have been several reports of these control signaling turning into signaling storms halting network operations and causing the respective Telecom companies big financial losses. This paper draws its motivation from such real network disaster incidents attributed to signaling storms. In this paper, we present a thorough survey of the causes, of the signaling storm problems More >

Avi Deb Raha¹, Fatema Jannat Dihan², Mrityunjoy Gain¹, Saydul Akbar Murad³, Apurba Adhikary², Md. Bipul Hossain², Md. Mehedi Hassan¹, Taher Al-Shehari⁴, Nasser A. Alsadhan⁵, Mohammed Kadrie⁴, Anupam Kumar Bairagi^1,*

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4033-4048, 2024, DOI:10.32604/cmc.2024.057415 - 19 December 2024

Abstract Breast cancer stands as one of the world’s most perilous and formidable diseases, having recently surpassed lung cancer as the most prevalent cancer type. This disease arises when cells in the breast undergo unregulated proliferation, resulting in the formation of a tumor that has the capacity to invade surrounding tissues. It is not confined to a specific gender; both men and women can be diagnosed with breast cancer, although it is more frequently observed in women. Early detection is pivotal in mitigating its mortality rate. The key to curbing its mortality lies in early detection.… More >

Long Huang^1,2,3,*, Junjia Zou³, Baoqing Liu¹, Zhijiang Jin^1,2, Jinyuan Qian¹

Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1613-1643, 2024, DOI:10.32604/fhmt.2024.058231 - 19 December 2024

Abstract This study explores the effectiveness of machine learning models in predicting the air-side performance of microchannel heat exchangers. The data were generated by experimentally validated Computational Fluid Dynamics (CFD) simulations of air-to-water microchannel heat exchangers. A distinctive aspect of this research is the comparative analysis of four diverse machine learning algorithms: Artificial Neural Networks (ANN), Support Vector Machines (SVM), Random Forest (RF), and Gaussian Process Regression (GPR). These models are adeptly applied to predict air-side heat transfer performance with high precision, with ANN and GPR exhibiting notably superior accuracy. Additionally, this research further delves into… More >

Qingcheng Yang^1,*, Arkadz Kirshtein²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011229

Abstract Sintering is a pivotal technology for processing ceramic and metallic powders into solid objects. A profound understanding of microstructure evolution during sintering is essential for manufacturing products with tailored properties. While various phase-field models have been proposed to simulate microstructure evolution in solid-state sintering, correctly incorporating the densification assumption—where particles move toward each other by rigid body motion—remains a challenge. The fundamental obstacle lies in the ad hoc treatment of particle motion, where the thermodynamical driving force cannot be derived from the system's free energy. In this work, we present a novel phase-field micromechanics model More >

Prabhakar Misra^1,*, Hawazin Alghamdi¹, Raul Garcia-Sanchez¹, Wyatt Mitchell², Allison Powell³, Nikhil Vohra⁴

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.013296

Abstract Semiconducting quantum dots (Q-dots) with strain-tunable electronic properties are good contenders for quantum computing devices, as they hold promise to exhibit a high level of photon entanglement. The optical and electronic properties of Q-dots vary with their size, shape, and makeup. An assortment of Q-dots has been studied, including ZnO, ZnS, CdSe and perovskites [1]. We have employed both Raman spectroscopy (to precisely determine their vibrational frequencies) and UV-VIS spectroscopy (to determine accurately their band gap energies). The electronic band structure and density of states of the ZnO and ZnS Q-dots have been investigated under More >

Jianfeng Zhao^1,*, Xu Zhang², Guozheng Kang², Michael Ziaser³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012582

Abstract A continuum model of dislocation transport incorporating grain boundary transmission was developed within a dislocation-based crystal plasticity framework, which was then adopted to study the deformation mechanisms of gradient-structured material and bimodal-grained material. The nonlocal nature of the model on the slip system level enables the direct investigation of strain gradient effects caused by internal deformation heterogeneities. Furthermore, the interaction between dislocations and grain boundaries leads to the formation of pileups near grain boundaries, which is key to studying the grain size effects in polycrystals. Finite element implementation of the model for polycrystals with different… More >

Rui Li^1,*, Yonggang Huang², John A. Rogers²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.012578

Abstract Bioresorbable electronic devices represent an emerging class of technology that involves components which physically disappear, in whole or in part, at prescribed rates and at programmed times [1,2]. Obtaining reliable performance and favorable degradation behavior demands materials that can serve as biofluid barriers in encapsulating structures that avoid premature degradation of active electronic components [3–5]. We have recently presented a multilayer organic–inorganic film design that addresses this need, with properties in water impermeability, mechanical flexibility, and processability that are superior to alternatives [6,7]. Theoretical modeling for water permeation across the multilayer films provides an important More >

Valentina Salomoni^1,*, Gianluca Mazzucco¹, Giovanna Xotta¹, Riccardo Fincato¹, Beatrice Pomaro¹, Nico De Marchi¹, Jiangkun Zhang¹, Caterina Biscaro¹, Alberto Antonini¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.012130

Abstract Building materials such as concrete cement or concrete asphalt are highly heterogeneous composite materials that are often addressed as homogeneous media when a sufficiently large Representative Elementary Volume (REV) definition of the compound is accepted. Adopting a homogenous approach in the material behaviour modeling typically fails to elucidate the interaction between the various material phases. Recently, a meso-scale approach has emerged, enabling the study of composite/conglomerate materials within the REV volume, thereby making the principal material components explicit. At this scale, local interactions between inclusions and matrix are captured, revealing the presence of complex triaxial… More >