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  • Open Access

    ARTICLE

    Numerical Investigation on Thermal Performance of Single-Phase Immersion Cooling Systems Using Oil Coolant

    Yiming Rongyang1, Zhenyue Yu1, Ruisheng Liang2,*, Wei Su1, Jianjian Wei2,3

    Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 279-298, 2025, DOI:10.32604/fhmt.2025.059637 - 26 February 2025

    Abstract Data center cooling systems are substantial energy consumers, and managing the heat generated by electronic devices is becoming more complex as chip power levels continue to rise. The single-phase immersion cooling (SPIC) server with oil coolant is numerically investigated using the validated Re-Normalization Group (RNG) k-ε model. For the investigated scenarios where coolant velocity at the tank inlet is 0.004 m/s and the total power is 740 W, the heat transfer between the heat sinks and the coolant is dominated by natural convection, although forced convection mediates the overall heat transfer inside the tank. The maximum… More >

  • Open Access

    ARTICLE

    Evaluating Effect of Magnetic Field on Nusselt Number and Friction Factor of Fe3O4-TiO2/Water Nanofluids in Heat-Sink Using Artificial Intelligence Techniques

    L. S. Sundar*, Sérgio M. O. Tavares, António M. B. Pereira, Antonio C. M. Sousa

    Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 131-162, 2025, DOI:10.32604/fhmt.2025.055854 - 26 February 2025

    Abstract The experimental analysis takes too much time-consuming process and requires considerable effort, while, the Artificial Neural Network (ANN) algorithms are simple, affordable, and fast, and they allow us to make a relevant analysis in establishing an appropriate relationship between the input and output parameters. This paper deals with the use of back-propagation ANN algorithms for the experimental data of heat transfer coefficient, Nusselt number, and friction factor of water-based Fe3O4-TiO2 magnetic hybrid nanofluids in a mini heat sink under magnetic fields. The data considered for the ANN network is at different Reynolds numbers (239 to 1874),… More >

  • Open Access

    ARTICLE

    Thermo-Hydraulic Performances of Microchannel Heat Sinks with Different Types of Perforated Rectangular Blocks

    Heng Zhao1, Honghua Ma2, Hui Liu1, Xiang Yan1, Huaqing Yu1, Yongjun Xiao1, Xiao Xiao3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 87-105, 2025, DOI:10.32604/fdmp.2024.056577 - 24 January 2025

    Abstract The behavior of single-phase flow and conjugate heat transfer in micro-channel heat sinks (MCHS) subjected to a uniform heat flux is investigated by means of numerical simulations. Various geometrical configurations are examined, particularly, the combinations of rectangular solid and perforated blocks, used to create a disturbance in the flow. The analysis focuses on several key aspects and related metrics, including the temperature distribution, the mean Fanning friction factor, the pressure drop, the Nusselt number, and the overall heat transfer coefficient across a range of Reynolds numbers (80–870). It is shown that the introduction of such More >

  • Open Access

    ARTICLE

    Optimizing Heat Sink Performance by Replacing Fins from Solid to Porous inside Various Enclosures Filled with a Hybrid Nanofluid

    Ahmed Dhafer Abdulsahib1,*, Dhirgham Alkhafaji1, Ibrahim M. Albayati2

    Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1777-1804, 2024, DOI:10.32604/fhmt.2024.057209 - 19 December 2024

    Abstract The current study generally aims to improve heat transfer in heat sinks by presenting a numerical analysis of natural convection of an enclosure with hot right and cool left walls, and thermally insulated top and bottom walls. The cold wall included configurations (half circle/half square) in various sizes (S = 0.1, 0.2, and 0.3), numbers (N = 1, 2, 3, and 4), and locations (C = 0.35, and 0.65). A heat sink is constructed of Aluminum attached to the hot wall, and composed of five fins with protrusions. Fins of the heat sink will be… More > Graphic Abstract

    Optimizing Heat Sink Performance by Replacing Fins from Solid to Porous inside Various Enclosures Filled with a Hybrid Nanofluid

  • Open Access

    PROCEEDINGS

    Radio Frequency-Assisted Curing of On-Chip Printed Carbon Nanotube/silicone Heatsinks Produced by Material Extrusion 3D Printing

    Thang Q. Tran1,2, Anubhav Sarmah1, Ethan M. Harkin1, Smita Shivraj Dasari1, Kailash Arole1, Matthew Cupich1, Aniela J. K. Wright1, Hang Li Seet2, Sharon Mui Ling Nai2, Micah J. Green1,3,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.012057

    Abstract With the rapid development of high-power integrated electronic devices, many polymer-based thermal management devices have been developed to address the problem of overheating and to improve the reliability and lifetime of electronic devices. Here we demonstrate the material extrusion 3D printing of carbon nanotube (CNT)/silicone heatsinks directly onto electronic devices. CNTs were used as a conductive nanofiller and a rheological modifier to improve thermal and electrical conductivities and the printability of the silicone inks, respectively. Additionally, CNTs are also a radio frequency (RF) susceptor, so the integration of CNTs into the silicone matrix allowed for… More >

  • Open Access

    ARTICLE

    Dynamic Deep Learning for Enhanced Reliability in Wireless Sensor Networks: The DTLR-Net Approach

    Gajjala Savithri1,2, N. Raghavendra Sai1,*

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2547-2569, 2024, DOI:10.32604/cmc.2024.055827 - 18 November 2024

    Abstract In the world of wireless sensor networks (WSNs), optimizing performance and extending network lifetime are critical goals. In this paper, we propose a new model called DTLR-Net (Deep Temporal LSTM Regression Network) that employs long-short-term memory and is effective for long-term dependencies. Mobile sinks can move in arbitrary patterns, so the model employs long short-term memory (LSTM) networks to handle such movements. The parameters were initialized iteratively, and each node updated its position, mobility level, and other important metrics at each turn, with key measurements including active or inactive node ratio, energy consumption per cycle,… More >

  • Open Access

    PROCEEDINGS

    Source-Sink Matching Model Focusing on the Feasibility of CO2 Pipeline Transport

    Yubo Jiao1, Wei Wang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011157

    Abstract The source-sink matching optimization problem is one of the more important aspects of carbon capture and storage (CCS) system planning studies, and a large number of studies have been conducted using mathematical modeling to assess the feasibility of deployment in the planning region, thus providing important decision support. A framework of optimization system applicable to source-sink matching analysis was constructed based on the structural relationship between directly connected sources and sinks, taking into account multiple factors (transport characteristics, CO2 injection rate and connection period, etc.), which can ensure the feasibility of CO2 pipeline transportation operation and… More >

  • Open Access

    ARTICLE

    AI-Driven Energy Optimization in UAV-Assisted Routing for Enhanced Wireless Sensor Networks Performance

    Syed Kamran Haider1,2, Abbas Ahmed2, Noman Mujeeb Khan2, Ali Nauman3,*, Sung Won Kim3,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4085-4110, 2024, DOI:10.32604/cmc.2024.052997 - 12 September 2024

    Abstract In recent advancements within wireless sensor networks (WSN), the deployment of unmanned aerial vehicles (UAVs) has emerged as a groundbreaking strategy for enhancing routing efficiency and overall network functionality. This research introduces a sophisticated framework, driven by computational intelligence, that merges clustering techniques with UAV mobility to refine routing strategies in WSNs. The proposed approach divides the sensor field into distinct sectors and implements a novel weighting system for the selection of cluster heads (CHs). This system is primarily aimed at reducing energy consumption through meticulously planned routing and path determination. Employing a greedy algorithm More >

  • Open Access

    ARTICLE

    A Novel Approach to Energy Optimization: Efficient Path Selection in Wireless Sensor Networks with Hybrid ANN

    Muhammad Salman Qamar1,*, Ihsan ul Haq1, Amil Daraz2, Atif M. Alamri3, Salman A. AlQahtani4, Muhammad Fahad Munir1

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2945-2970, 2024, DOI:10.32604/cmc.2024.050168 - 15 May 2024

    Abstract In pursuit of enhancing the Wireless Sensor Networks (WSNs) energy efficiency and operational lifespan, this paper delves into the domain of energy-efficient routing protocols. In WSNs, the limited energy resources of Sensor Nodes (SNs) are a big challenge for ensuring their efficient and reliable operation. WSN data gathering involves the utilization of a mobile sink (MS) to mitigate the energy consumption problem through periodic network traversal. The mobile sink (MS) strategy minimizes energy consumption and latency by visiting the fewest nodes or pre-determined locations called rendezvous points (RPs) instead of all cluster heads (CHs). CHs… More >

  • Open Access

    ARTICLE

    Thermal Radiation Effects on 2D Stagnation Point Flow of a Heated Stretchable Sheet with Variable Viscosity and MHD in a Porous Medium

    Muhammad Abaid Ur Rehman1,*, Muhammad Asif Farooq1, Ahmed M. Hassan2

    Frontiers in Heat and Mass Transfer, Vol.22, No.1, pp. 263-286, 2024, DOI:10.32604/fhmt.2023.044587 - 21 March 2024

    Abstract This paper proposes a mathematical modeling approach to examine the two-dimensional flow stagnates at over a heated stretchable sheet in a porous medium influenced by nonlinear thermal radiation, variable viscosity, and MHD. This study’s main purpose is to examine how thermal radiation and varying viscosity affect fluid flow motion. Additionally, we consider the convective boundary conditions and incorporate the gyrotactic microorganisms equation, which describes microorganism behavior in response to fluid flow. The partial differential equations (PDEs) that represent the conservation equations for mass, momentum, energy, and microorganisms are then converted into a system of coupled… More >

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