Liangxiu Zhang¹, Qinghai Zhao^2,3,*, Feiteng Cheng¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2177-2199, 2025, DOI:10.32604/fdmp.2025.068499 - 30 September 2025

Abstract To advance the performance of solid oxide fuel cells (SOFCs), this work proposes a novel biomimetic flow field architecture inspired by the geometric arrangement of sunflower florets. Drawing on natural principles of optimal spatial distribution, a multi-physics simulation model of the resulting Sunflower Bionic Flow Field (SBFF) was developed. Building upon this foundation, an enhanced configuration was introduced by integrating an annular channel, yielding a modified variant referred to as Modified Sunflower Bionic Flow Field (MSBFF). For comparative purposes, a conventional Traditional Parallel Flow Field (TPFF) was also analyzed under identical conditions. Simulation results underscore… More >

Hamed Yousefzadeh Eini, Mohammad Hossein Sabouri, Mojtaba Babaelahi^*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.7, pp. 1771-1788, 2025, DOI:10.32604/fdmp.2025.066747 - 31 July 2025

Abstract Heat Recovery Ventilators (HRVs) are essential for improving indoor air quality (IAQ) and reducing energy consumption in residential buildings situated in cold climates. This study considers the efficiency and performance optimization of HRVs under cold climatic conditions, where conventional ventilation systems increase heat loss. A comprehensive numerical model was developed using COMSOL Multiphysics, integrating fluid dynamics, heat transfer, and solid mechanics to evaluate the thermal efficiency and structural integrity of an HRV system. The methodology employed a detailed geometry with tetrahedral elements, temperature-dependent material properties, and coupled governing equations solved under Tehran-specific boundary conditions. A More >

Tianwen Zhao¹, Guoqing Chen^2,3, Cong Pang⁴, Piyapatr Busababodhin^3,5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2883-2917, 2025, DOI:10.32604/cmes.2025.066442 - 30 June 2025

Abstract Existing power forecasting models struggle to simultaneously handle high-dimensional, noisy load data while capturing long-term dependencies. This critical limitation necessitates an integrated approach combining dimensionality reduction, temporal modeling, and robust prediction, especially for multi-day forecasting. A novel hybrid model, SLHS-TCN-XGBoost, is proposed for power demand forecasting, leveraging SLHS (dimensionality reduction), TCN (temporal feature learning), and XGBoost (ensemble prediction). Applied to the three-year electricity load dataset of Seoul, South Korea, the model’s MAE, RMSE, and MAPE reached 112.08, 148.39, and 2%, respectively, which are significantly reduced in MAE, RMSE, and MAPE by 87.37%, 87.35%, and 87.43%… More >

Jing Hu^*, Xiaoyu Zhang

Frontiers in Heat and Mass Transfer, Vol.23, No.3, pp. 957-974, 2025, DOI:10.32604/fhmt.2025.064892 - 30 June 2025

Abstract As a core power device in strategic industries such as new energy power generation and electric vehicles, the thermal reliability of IGBT modules directly determines the performance and lifetime of the whole system. A synergistic optimization structure of “inlet plate-channel spoiler columns” is proposed for the local hot spot problem during the operation of Insulated Gate Bipolar Transistor (IGBT), combined with the inherent defect of uneven flow distribution of the traditional U-type liquid cooling plate in this paper. The influences of the shape, height (H), and spacing from the spoiler column (b) of the plate on… More > Graphic Abstract

Maram Alkhayyal^*, Almetwally M. Mostafa

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1079-1100, 2025, DOI:10.32604/cmc.2025.061836 - 26 March 2025

Abstract The rapid expansion of the Internet of Things (IoT) has led to the widespread adoption of sensor networks, with Long-Range Wide-Area Networks (LoRaWANs) emerging as a key technology due to their ability to support long-range communication while minimizing power consumption. However, optimizing network performance and energy efficiency in dynamic, large-scale IoT environments remains a significant challenge. Traditional methods, such as the Adaptive Data Rate (ADR) algorithm, often fail to adapt effectively to rapidly changing network conditions and environmental factors. This study introduces a hybrid approach that leverages Deep Learning (DL) techniques, namely Long Short-Term Memory… More >

Shamitha Shetty^1,2, Asha Crasta¹, Sher Afghan Khan^3,*, Abdul Aabid⁴, Muneer Baig⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2353-2376, 2024, DOI:10.32604/fdmp.2024.051059 - 23 September 2024

Abstract The purpose of this work is to shed light on the effect of the pivot position on the surface pressure distribution over a 3D wing in different flight conditions. The study is intended to support the design and development of aerospace vehicles where stability analysis, performance optimization, and aircraft design are of primary importance. The following parameters are considered: Mach numbers (M) of 1.3, 1.8, 2.3, 2.8, 3.3, and 3.8, angle of incidence (θ) in the range from 5° to 25°, pivot position from h = 0.2 to 1. The results of the CFD numerical More >

Qinlu He^1,*, Fan Zhang¹, Genqing Bian¹, Weiqi Zhang¹, Zhen Li²

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2833-2850, 2024, DOI:10.32604/cmc.2024.046807 - 15 May 2024

Abstract Spark, a distributed computing platform, has rapidly developed in the field of big data. Its in-memory computing feature reduces disk read overhead and shortens data processing time, making it have broad application prospects in large-scale computing applications such as machine learning and image processing. However, the performance of the Spark platform still needs to be improved. When a large number of tasks are processed simultaneously, Spark’s cache replacement mechanism cannot identify high-value data partitions, resulting in memory resources not being fully utilized and affecting the performance of the Spark platform. To address the problem that… More >

Gang Wu^1,2,*, Feng Liu^1,2, Sijie Li^1,2, Na Luo^1,2, Zhiqiang Liu^1,2, Yuqaing Li^2,3

Journal of Renewable Materials, Vol.11, No.2, pp. 707-730, 2023, DOI:10.32604/jrm.2022.022276 - 22 September 2022

Abstract The serpentine tube liquid cooling and composite PCM coupled cooling thermal management system is designed for 18650 cylindrical power batteries, with the maximum temperature and temperature difference of the power pack within the optimal temperature operating range as the target. The initial analysis of the battery pack at a 5C discharge rate, the influence of the single cell to cooling tube distance, the number of cooling tubes, inlet coolant temperature, the coolant flow rate, and other factors on the heat dissipation performance of the battery pack, initially determined a reasonable value for each design parameter. More >

Juan Fang^1,*, Kuan Zhou¹, Mengyuan Zhang¹, Wei Xiang^2,3

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1621-1635, 2022, DOI:10.32604/cmc.2022.027147 - 18 May 2022

Abstract In recent years, with the development of processor architecture, heterogeneous processors including Center processing unit (CPU) and Graphics processing unit (GPU) have become the mainstream. However, due to the differences of heterogeneous core, the heterogeneous system is now facing many problems that need to be solved. In order to solve these problems, this paper try to focus on the utilization and efficiency of heterogeneous core and design some reasonable resource scheduling strategies. To improve the performance of the system, this paper proposes a combination strategy for a single task and a multi-task scheduling strategy for… More >

Ming Zhao^*, Yuhao Zheng

Frontiers in Heat and Mass Transfer, Vol.16, pp. 1-9, 2021, DOI:10.5098/hmt.16.19

Abstract The performance optimization of the triangular-tube phase change heat accumulator is carried out from three aspects. The first is to compare with three different types tubes: the traditional round tube, the square tube, and the elliptical tube. Results show that equilateral triangle tube has the best heat storage and release characteristics. The second is to study the sub-cavity heat accumulator model based on multiphase change materials on the basis of the triangular tube. The third is to study the turn-over triangular tube heat accumulator. Both the flip function through discrete point fitting and the best More >